SaLT&PepPr is an Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Orbitrap Exploris 480
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Pranam Chatterjee
PROVIDER: MSV000093088 | MassIVE | Thu Oct 12 06:44:00 BST 2023
SECONDARY ACCESSION(S): PXD046088
REPOSITORIES: MassIVE
Publications
SaLT&PepPr is an interface-predicting language model for designing peptide-guided protein degraders.
Brixi Garyk G Ye Tianzheng T Hong Lauren L Wang Tian T Monticello Connor C Lopez-Barbosa Natalia N Vincoff Sophia S Yudistyra Vivian V Zhao Lin L Haarer Elena E Chen Tianlai T Pertsemlidis Sarah S Palepu Kalyan K Bhat Suhaas S Christopher Jayani J Li Xinning X Liu Tong T Zhang Sue S Petersen Lillian L DeLisa Matthew P MP Chatterjee Pranam P
Communications biology 20231024 1
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a Structure-agnostic Language Transformer and Peptide Prioritization (SaLT&PepPr) pipeline to predict interaction interfaces from a protein sequence alone for the subsequent generation of peptidic binding motifs. Our model fine-tunes the ESM-2 protein language model (pLM) with a per-position prediction ...[more]
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