Professor Morten Nielsen's Immunoinformatics and Machine Learning Lab at DTU Bioinformatics

AbEpiTope-1.0 is a computational tool that features two scores: AbEpiScore-1.0, designed for assessing the accuracy of modelled AbAg interfaces, and AbEpiTarget-1.0, optimised for selecting the antibody most likely to bind a given antigen.

Structure Prediction Tool for Antibody-Antigen Complexes

Code and data for vaxpred project

Sequence-based prediction of peptide-TCR interactions using paired chain data

Code and guides for setting up apptainer containers on Gefion HPC to run AlphaFold, Chai, BepiPocket, Boltz, Boltzgen

Computing the IoU metrics for evaluating the modelling accuracy of antibody-antigen complexes

Repo containing code and workflows for creating MSA inputs for structural modelling (AlphaFold, Chai1, Boltz etc.)