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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

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Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

Resources

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

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

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1 watching

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

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

Resources

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - fomightez/PDBmodelComparator: Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank. · GitHub
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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

Resources

Stars

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1 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' GitHub - fomightez/PDBmodelComparator: Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank. · GitHub
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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

About

Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

Resources

Stars

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Watchers

1 watching

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PDBmodelComparator

Tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

Binder

tl;dr:
Click any launch binder badge on this page to use the series of notebooks inside your browser without need for installing or logging in.


PDBmodelComparator: A tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank with demonstrations here.

A launchable, working Jupyter-based environment served via MyBinder.org that has a collection of demonstrations of tool to generate an overviews between models of related macromolecular structures available in the Protein Data Bank.

If you have two or more models of essentially the same large complex and are wondering which one has the information you seek, this tool is for you. It allows you to update the summaries as more related structures are solved. Compares things like missing residues per chain, missing segments, percent of the biological chain oberved in the structure, whether data for either or both chain termini is intact. Additionally, it makes a separate summary of which chain in the complex has the most of a each chain represented. It allows you to quickly & programmatically update the summaries as more related structures are solved. The information incorporated can be customized with addiitonal knowledge as part of the process to make more informative summaries. Meaning you can incorporate your own expert /domain-specific knowledge to make the summaries even more useful in your own research group.

Meant to be self-contained and ready-to-go. No installations or copying of notebooks is necessary if launch binder is clicked. Everything will just work.


Related

  • My PDBmodelComparator-utilities sub-repo for the associated scripts.

  • My pdbsum-utilities sub-repo has a number of scripts, although I note the interface handling ones only deal with chains of protein-protein interfaces. These scripts are demonstrated in sessions that can be launched by pressing the launch binder button at my repo pdbsum-binder.

  • My repo pdbsum-binder demonstrates scripts from my pdbsum-utilities sub-repo that enable handling data from the PDBsum with Jupyter/Python. Importantly, data from that site will only summarize interface surface area between protein chains of a structure. It does detail protein and nucleic acid residue-residue contacts but only graphically, and so I haven't found/developed a way to extract the data from there into Pandas dataframes yet.

  • My repo pdbepisa-binder demonstrates scripts from my pdbepisa-utilities sub-repo that enable handling data from PDBePISA with Jupyter/Python. Importantly, data from that site will summarize interface surface area between ALL CHAINS of a structure, even protein and nucleic acid chains, and may be additionally helpful if you are studying a deoxyribonucleic- or ribonucleic-complex.

  • See here for a listing of resources in a similar vein yet targeted to macromolecular structure data. In particular, see cl_demo-binder for the companion set to this one.

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Tool to generate overviews between models of related macromolecular structures available in the Protein Data Bank.

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