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ATPdock: a template-based method for ATP-specific protein-ligand docking.
Rao, Liang; Jia, Ning-Xin; Hu, Jun; Yu, Dong-Jun; Zhang, Gui-Jun.
Afiliação
  • Rao L; College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
  • Jia NX; College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
  • Hu J; College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
  • Yu DJ; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
  • Zhang GJ; College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.
Bioinformatics ; 38(2): 556-558, 2022 01 03.
Article em En | MEDLINE | ID: mdl-34546290
ABSTRACT
MOTIVATION Accurately identifying protein-ATP binding poses is significantly valuable for both basic structure biology and drug discovery. Although many docking methods have been designed, most of them require a user-defined binding site and are difficult to achieve a high-quality protein-ATP docking result. It is critical to develop a protein-ATP-specific blind docking method without user-defined binding sites.

RESULTS:

Here, we present ATPdock, a template-based method for docking ATP into protein. For each query protein, if no pocket site is given, ATPdock first identifies its most potential pocket using ATPbind, an ATP-binding site predictor; then, the template pocket, which is most similar to the given or identified pocket, is searched from the database of pocket-ligand structures using APoc, a pocket structural alignment tool; thirdly, the rough docking pose of ATP (rdATP) is generated using LS-align, a ligand structural alignment tool, to align the initial ATP pose to the template ligand corresponding to template pocket; finally, the Metropolis Monte Carlo simulation is used to fine-tune the rdATP under the guidance of AutoDock Vina energy function. Benchmark tests show that ATPdock significantly outperforms other state-of-the-art methods in docking accuracy. AVAILABILITY AND IMPLEMENTATION https//jun-csbio.github.io/atpdock/. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Trifosfato de Adenosina Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Trifosfato de Adenosina Idioma: En Ano de publicação: 2022 Tipo de documento: Article