DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-Annotated Protein Binding Residues-Reference-Cited by-同舟云学术

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DeepPRObind: Modular Deep Learner that Accurately Predicts Structure and Disorder-Annotated Protein Binding Residues

Published:2023-07 Issue:14 Volume:435 Page:167945
ISSN:0022-2836
Container-title:Journal of Molecular Biology
language:en
Short-container-title:Journal of Molecular Biology

Author:

Zhang Fuhao,Li Min,Zhang Jian,Shi Wenbo,Kurgan Lukasz

Funder

Hunan Provincial Science and Technology Department

Higher Education Discipline Innovation Project

Science and Technology Program of Hunan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference79 articles.

1. History of protein–protein interactions: From egg-white to complex networks;Braun;Proteomics,2012

2. Protein-protein interaction (PPI) network: recent advances in drug discovery;Athanasios;Curr. Drug Metab.,2017

3. Protein-protein interaction networks: probing disease mechanisms using model systems;Kuzmanov;Genome Med.,2013

4. Wrecked regulation of intrinsically disordered proteins in diseases: pathogenicity of deregulated regulators;Uversky;Front. Mol. Biosci.,2014

5. Protein-protein docking: from interaction to interactome;Vakser;Biophys. J.,2014

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1. A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond;Briefings in Bioinformatics;2024-03-27

2. CoMemMoRFPred: Sequence-based Prediction of MemMoRFs by Combining Predictors of Intrinsic Disorder, MoRFs and Disordered Lipid-binding Regions;Journal of Molecular Biology;2023-11

3. Computational Resources for Molecular Biology 2023;Journal of Molecular Biology;2023-07

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