Improving the Virtual Screening Ability of Target-Specific Scoring Functions Using Deep Learning Methods

Improving the Virtual Screening Ability of Target-Specific Scoring Functions Using Deep Learning Methods

Scoring functions play an important role in structure-based virtual screening. It has been widely accepted that target-specific scoring functions (TSSFs) may achieve better performance compared with universal scoring functions in actual drug research and development processes. A method that can effe...

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Bibliographic Details
Main Authors: Dingyan Wang, Chen Cui, Xiaoyu Ding, Zhaoping Xiong, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Kaixian Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Pharmacology
Subjects:
virtual screening
target-specific scoring function
deep learning
drug discovery
DUD-E
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2019.00924/full

Internet

https://www.frontiersin.org/article/10.3389/fphar.2019.00924/full

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