IDRBind is a protein interface predictor for binding sites of intrinsically disordered protein regions (IDRs), ranging from peptide motifs (i.e., short linear motifs) to molecular recognition features (MoRFs). Differentiating IDRBind from other interface predictors is its emphasis on binding sites of MoRFs, which are long interaction mediating elements within IDRs.
Protein-protein interactions have a fundamental role in most biological processes, and many computational methods have been created for the prediction of these interaction interfaces based on protein structure. Most of these methods have been trained and tested on classical globular-globular protein interactions. However, a large fraction of interactions are mediated by MoRFs, which play an especially prominent role in signaling and regulation. IDRBind is a method built to predict MoRF-binding sites on structures of folded proteins. It makes use of information from residue composition, residue evolutionary conservation, residue relative accessible surface area (rASA), surface geometry, estimated B-factor and electrostatics. The similarities in characteristics between binding sites of MoRFs and shorter peptides (e.g., SLiMs) make IDRBind a suitable prediction method for both.
Please see FAQ for more usage information.
A pre-computed dataset of human proteins is available, but more careful selection of input structure would provide better results. See included reademe.txt. https://drive.google.com/file/d/1amvuuLUGf77oqZ_BdN_vGagbwni_tRCE/view?usp=sharing
Reference for IDRBind:
E.T.C. Wong, J. Gsponer “Predicting protein-protein interfaces that bind intrinsically disordered protein regions” J. Mol. Biol. (2019). (Accepted)