Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Latest commit

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date

Repository files navigation

BioEdaDatabase

Paper

Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery
Yingze Wang, Dong Jun Shin, Martin Head-Gordon, Teresa Head-Gordon — ChemRxiv preprint

Scope

BioEdaDatabase provides quantum-mechanical interaction energies and ALMO energy decomposition analysis (EDA) for 14,905 protein-ligand fragment dimers extracted from high-quality experimental structures in HiQBind. Each dimer corresponds to a specific non-covalent interaction (NCI) type identified by PLIP, with reference energies computed at the ωB97X-V/def2-TZVPD level in Q-Chem and decomposed into electrostatics, Pauli repulsion, dispersion, polarization, and charge transfer. The dataset also includes interaction energies from classical force fields (GAFF2, AMOEBA) and machine-learned interaction potentials (MACE-OFF, MACE-OMOL, UMA, AIMNet2) for benchmarking.

Dataset files

All cleaned tables live in dataset/. Energies are reported in kJ/mol unless noted otherwise.

FileEntriesDescription
hbond_EDA_clean.csv4,302Hydrogen-bonded protein-ligand fragment dimers, including neutral and charged cases (category). Charged hydrogen bonds involving oppositely charged fragments are analyzed separately from salt bridges in the paper.
salt_bridge_EDA_clean.csv2,252Salt-bridge dimers between charged protein and ligand fragments, including dimers reclassified from charged hydrogen bonds. lig_group identifies the anion or cation type on the ligand side (e.g., carboxylate, phosphate, guanidinium).
halogen_EDA_clean.csv1,064Halogen-bond dimers with C−X···Y geometry (donortype: F, Cl, Br, or I). Includes donor/acceptor atom indices, distances, and angles.
pi_stack_EDA_clean.csv966π−π stacking dimers between aromatic protein and ligand fragments. type is parallel (P) or T-shaped (T); centdist, angle, and offset describe the stacking geometry.
pi_cation_EDA_clean.csv1,505π-cation dimers between an aromatic ligand group and a cationic protein side chain (lig_group, e.g., aromatic ring, guanidinium, tertiary amine).
hydrophobic_EDA_clean.csv4,816Hydrophobic contacts between protein and ligand carbon atoms, filtered to exclude charged fragments and overlapping NCI motifs.
omol_pocket_EDA_clean.csv111Supplementary pocket-scale fragment dimer benchmark set with the same EDA and force-field/MLIP columns as the main tables. category labels the dominant interaction motif (hbond, salt, or disp). Row IDs encode the source complex, ligand, conformational state/frame, and fragment pair.

Common columns

The first unnamed column is a unique row identifier for each dimer. Many columns are shared across the six main NCI tables; omol_pocket_EDA_clean.csv retains the structure, EDA, and benchmark columns but omits PLIP/PDB metadata fields.

Structure and provenance

ColumnDescription
PDBIDFour-letter PDB code of the parent complex.
full_PDBIDFull PDB entry identifier, including ligand/residue context.
subdirSource subdirectory within the HiQBind-derived structure set.
resnrResidue number of the interacting protein residue.
restypeThree-letter amino-acid residue type.
reschainProtein chain identifier.

Fragment geometry and composition

ColumnDescription
natoms0, natoms1Number of atoms in fragment 0 (ligand) and fragment 1 (protein).
charge0, charge1Net formal charge of each fragment.
smiles0, smiles1SMILES strings for the ligand and protein fragments.
elementsSpace-separated element symbols for all atoms in the dimer, in the same order as xyz.
xyzFlattened Cartesian coordinates (x y z per atom) in angstroms.

ALMO-EDA reference energies (DFT)

Computed with ALMO-EDA at ωB97X-V/def2-TZVPD in Q-Chem. Component definitions follow Eq. (1) in the paper.

ColumnDescription
ELECPermanent electrostatic interaction energy.
PAULIPauli repulsion energy.
DISPDispersion energy.
POLARIZATIONPolarization energy.
CHARGE_TRANSFERCharge-transfer energy.
TOTALTotal ALMO interaction energy; sum of the EDA components used for analysis.
CLS_ELECClassified electrostatic contribution used for ternary-plot analysis.
MOD_PAULIModified Pauli contribution used for ternary-plot analysis.
FROZENFrozen-core term (ELEC + PAULI) in the ternary decomposition.

Force-field and MLIP benchmark energies

Total interaction energies from each method evaluated on the same dimer geometries. Lower error against TOTAL indicates better agreement with the DFT reference.

ColumnMethod
GAFF2GAFF2 with AM1-BCC charges (OpenMM). For the OMOL dataset, the GAFF2 is AMBER14SB+GAFF2-BCC energy.
GAFF2/RESPGAFF2 with RESP charges (OpenMM); present in the six main NCI tables only.
AMOEBAAMOEBA polarizable force field (Tinker), with multipoles from Poltype2 at ωB97X-V/def2-TZVPD.
mace_off/mediumMACE-OFF-23(M).
mace_omol/extra_largeMACE-OMOL (extra-large model).
uma-s-1p1UMA small model (uma-s-1.1).
aimnet2AIMNet2 neural network potential.

Citation

If you use this dataset, please cite the preprint:

Wang, Y.; Shin, D. J.; Head-Gordon, M.; Head-Gordon, T. Energetics of Non-covalent Interactions of Protein-Ligand Complexes for Drug Discovery. ChemRxiv 2026. https://doi.org/10.26434/chemrxiv.10001956/v1

About

EDA database for protein-ligand complexes

Resources

Stars

3 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors