jahnl/binding_in_disorder
Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis
This project helps molecular biologists and biochemists identify specific binding sites within intrinsically disordered protein regions (IDPRs). By providing a protein's amino acid sequence and its computational 'embedding' (a numerical representation), it outputs a prediction of which residues in disordered regions are likely to be involved in binding. This is particularly useful for researchers studying protein-protein interactions, drug discovery, or understanding protein function.
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Use this if you need to quickly and accurately predict binding residues within intrinsically disordered regions of proteins from their sequences and embeddings.
Not ideal if you do not have access to protein embeddings or prefer methods based solely on multiple sequence alignments or expert-crafted features.
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Python
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Apr 29, 2025
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