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Published on: June 15, 2021
Systematic Studies on the Protocol and Criteria for Selecting a Covalent Docking Tool.
Chang Wen1, Xin Yan2, Qiong Gu3
1Research Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-Sen University, 132 East Circle at University City, Guangzhou 510006, China. wench7@mail2.sysu.edu.cn.
This study introduces a systematic method to evaluate covalent docking tools for targeted covalent inhibitor discovery. The developed protocols and criteria help select appropriate software for studying protein-ligand covalent binding systems.
Area of Science:
- Drug Discovery
- Computational Chemistry
- Structural Biology
Background:
- The resurgence of covalent drugs necessitates reliable computational tools for targeted covalent inhibitor discovery.
- Existing covalent docking tools require systematic evaluation to ensure accuracy and efficiency.
- Objective criteria are needed to assess the performance of protein-ligand covalent docking software.
Purpose of the Study:
- To develop a standardized procedure and objective criteria for evaluating covalent docking tools.
- To establish a protocol for assessing the performance of docking ligands into complex covalent binding systems.
- To investigate factors influencing the performance of covalent docking tools.
Main Methods:
- Curated a standard dataset for objective evaluation of covalent docking tools.
- Established performance measurement criteria for docking ligands in complex systems.
- Developed a protocol to evaluate and select appropriate covalent binding tools.
- Applied protocols to assess four covalent docking tools: MOE, GOLD, CovDock, and ICM-Pro.
Main Results:
- A systematic protocol and objective criteria for evaluating covalent docking tools were successfully established.
- The performance of four leading covalent docking tools was systematically assessed.
- Key parameters influencing covalent docking performance were investigated.
Conclusions:
- The proposed protocols and criteria provide a robust framework for selecting reliable covalent docking tools.
- This systematic evaluation aids in the efficient discovery of targeted covalent inhibitors.
- The findings contribute to advancing computational approaches in drug discovery for covalent binding systems.
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