MHCRoBERTa: pan-specific peptide-MHC class I binding prediction through transfer learning with label-agnostic protein sequences
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab595
Abstract: Predicting the binding of peptide and major histocompatibility complex (MHC) plays a vital role in immunotherapy for cancer. The success of Alphafold of applying natural language processing (NLP) algorithms in protein secondary struction prediction has… read more here.
Keywords: mhc; mhc class; prediction; value ... See more keywords
An automated benchmarking platform for MHC class II binding prediction methods
Sign Up to like & getrecommendations! Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx820
Abstract: Motivation Computational methods for the prediction of peptide-MHC binding have become an integral and essential component for candidate selection in experimental T cell epitope discovery studies. The sheer amount of published prediction methods-and often discordant… read more here.
Keywords: class binding; binding prediction; mhc; prediction methods ... See more keywords
A Photo-Crosslinking Approach to Identify Class II SUMO-1 Binders
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Chemistry"
DOI: 10.3389/fchem.2022.900989
Abstract: The small ubiquitin-like modifier (SUMO) is involved in various cellular processes and mediates known non-covalent protein-protein interactions by three distinct binding surfaces, whose interactions are termed class I to class III. While interactors for the… read more here.
Keywords: photo crosslinking; class sumo; sumo binders; class ... See more keywords