دورية أكاديمية

PGBind: pocket-guided explicit attention learning for protein-ligand docking.

التفاصيل البيبلوغرافية
العنوان: PGBind: pocket-guided explicit attention learning for protein-ligand docking.
المؤلفون: Shen A; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, Shanghai 200032, China.; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Fudan University, 131 Dong'an Road, Shanghai 200032, China., Yuan M; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, Shanghai 200032, China.; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Fudan University, 131 Dong'an Road, Shanghai 200032, China., Ma Y; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, Shanghai 200032, China.; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Fudan University, 131 Dong'an Road, Shanghai 200032, China., Du J; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, Shanghai 200032, China.; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Fudan University, 131 Dong'an Road, Shanghai 200032, China., Wang M; Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, Shanghai 200032, China.; Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Fudan University, 131 Dong'an Road, Shanghai 200032, China.
المصدر: Briefings in bioinformatics [Brief Bioinform] 2024 Jul 25; Vol. 25 (5).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
أسماء مطبوعة: Publication: Oxford : Oxford University Press
Original Publication: London ; Birmingham, AL : H. Stewart Publications, [2000-
مواضيع طبية MeSH: Ligands* , Proteins*/chemistry , Proteins*/metabolism , Drug Discovery*, Algorithms ; Binding Sites ; Computational Biology/methods ; Deep Learning ; Molecular Docking Simulation ; Protein Binding ; Protein Conformation
مستخلص: As more and more protein structures are discovered, blind protein-ligand docking will play an important role in drug discovery because it can predict protein-ligand complex conformation without pocket information on the target proteins. Recently, deep learning-based methods have made significant advancements in blind protein-ligand docking, but their protein features are suboptimal because they do not fully consider the difference between potential pocket regions and non-pocket regions in protein feature extraction. In this work, we propose a pocket-guided strategy for guiding the ligand to dock to potential docking regions on a protein. To this end, we design a plug-and-play module to enhance the protein features, which can be directly incorporated into existing deep learning-based blind docking methods. The proposed module first estimates potential pocket regions on the target protein and then leverages a pocket-guided attention mechanism to enhance the protein features. Experiments are conducted on integrating our method with EquiBind and FABind, and the results show that their blind-docking performances are both significantly improved and new start-of-the-art performance is achieved by integration with FABind.
(© The Author(s) 2024. Published by Oxford University Press.)
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معلومات مُعتمدة: 23S41900400 Science and Technology Innovation Plan Of Shanghai Science and Technology Commission; FD-AI4S04183 Fudan University Science Intelligence Special Fund
فهرسة مساهمة: Keywords: AI for science; drug discovery; protein–ligand blind docking; protein–ligand docking
المشرفين على المادة: 0 (Ligands)
0 (Proteins)
تواريخ الأحداث: Date Created: 20240918 Date Completed: 20240918 Latest Revision: 20240925
رمز التحديث: 20240925
مُعرف محوري في PubMed: PMC11410380
DOI: 10.1093/bib/bbae455
PMID: 39293803
قاعدة البيانات: MEDLINE
الوصف
تدمد:1477-4054
DOI:10.1093/bib/bbae455