Protein-peptide binding residue prediction based on protein language models and cross-attention mechanism-Reference-Cited by-同舟云学术

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Protein-peptide binding residue prediction based on protein language models and cross-attention mechanism

Published:2024-11 Issue: Volume:694 Page:115637
ISSN:0003-2697
Container-title:Analytical Biochemistry
language:en
Short-container-title:Analytical Biochemistry

Author:

Hu Jun^ORCID,Chen Kai-Xin,Rao Bing,Ni Jing-Yuan,Thafar Maha A.,Albaradei Somayah,Arif Muhammad

Funder

Graduate Scientific Research and Innovation Foundation of Chongqing

Hangzhou Normal University

Taif University

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Qatar Biomedical Research Institute, Hamad Bin Khalifa University

Qatar National Library

College of Integrated Science and Engineering

National Key Clinical Specialty Discipline Construction Program of China

Publisher

Elsevier BV

Reference42 articles.

1. Peptidic modulators of protein‐protein interactions: progress and challenges in computational design;Rubinstein;Biopolymers: Original Research on Biomolecules,2009

2. Assembly of cell regulatory systems through protein interaction domains;Pawson;Science,2003

3. A comprehensive review on current advances in peptide drug development and design;Lee;Int. J. Mol. Sci.,2019

4. CPPred-RF: a sequence-based predictor for identifying cell-penetrating peptides and their uptake efficiency;Wei;J. Proteome Res.,2017

5. PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning;Wei;Bioinformatics,2019

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