Literature DB >> 33052694

Development of a New Scoring Function for Virtual Screening: APBScore.

Jingxiao Bao1, Xiao He1,2, John Z H Zhang1,2,3,4.   

Abstract

In this study, we developed a new physical-based scoring function, Atom Pair-Based Scoring function (APBScore), which includes pairwise van der Waals (VDW), electrostatic interaction, and hydrogen bond energies between the receptor and ligand. Despite the simple form of this scoring function, the tests of APBScore on several benchmark datasets show its excellent performance in scoring as compared to other widely used traditional scoring functions. Particularly, the scoring performance of APBScore is among the top-ranking scoring functions for complexes with zinc/ligand interactions. In addition to the scoring power, APBScore also shows good performance in ranking and docking as compared to some traditional scoring functions. In addition, the APBScore is sensitive to receptor/ligand atomic collisions and therefore can correctly identify decoy complex structures with atomic collisions. These features are the result of optimizing atom-pair VDW interactions, performing structural minimization of the initial structures, and treating zinc/ligand interactions more accurately. The source code of APBScore is available at https://github.com/BaoJingxiao/APBScore.

Entities:  

Year:  2020        PMID: 33052694     DOI: 10.1021/acs.jcim.0c00474

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Prediction of Binding Free Energy of Protein-Ligand Complexes with a Hybrid Molecular Mechanics/Generalized Born Surface Area and Machine Learning Method.

Authors:  Lina Dong; Xiaoyang Qu; Yuan Zhao; Binju Wang
Journal:  ACS Omega       Date:  2021-11-21

2.  Hydrogen bonding penalty used for virtual screening to discover potent inhibitors for Papain-Like cysteine proteases of SARS-CoV-2.

Authors:  Guangjian Zhao; Xiaochun Liu; Suyun Wang; Zhongyue Bai; Siyu Zhang; Yifan Wang; Haibo Yu; Ximing Xu
Journal:  Chem Biol Drug Des       Date:  2022-07-26       Impact factor: 2.873

3.  XLPFE: A Simple and Effective Machine Learning Scoring Function for Protein-Ligand Scoring and Ranking.

Authors:  Lina Dong; Xiaoyang Qu; Binju Wang
Journal:  ACS Omega       Date:  2022-06-13
  3 in total

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