Literature DB >> 22551340

Performance evaluation of 2D fingerprint and 3D shape similarity methods in virtual screening.

Guoping Hu1, Guanglin Kuang, Wen Xiao, Weihua Li, Guixia Liu, Yun Tang.   

Abstract

Virtual screening (VS) can be accomplished in either ligand- or structure-based methods. In recent times, an increasing number of 2D fingerprint and 3D shape similarity methods have been used in ligand-based VS. To evaluate the performance of these ligand-based methods, retrospective VS was performed on a tailored directory of useful decoys (DUD). The VS performances of 14 2D fingerprints and four 3D shape similarity methods were compared. The results revealed that 2D fingerprints ECFP_2 and FCFP_4 yielded better performance than the 3D Phase Shape methods. These ligand-based methods were also compared with structure-based methods, such as Glide docking and Prime molecular mechanics generalized Born surface area rescoring, which demonstrated that both 2D fingerprint and 3D shape similarity methods could yield higher enrichment during early retrieval of active compounds. The results demonstrated the superiority of ligand-based methods over the docking-based screening in terms of both speed and hit enrichment. Therefore, considering ligand-based methods first in any VS workflow would be a wise option.

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Year:  2012        PMID: 22551340     DOI: 10.1021/ci300030u

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


  33 in total

1.  Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships.

Authors:  Tomoyuki Miyao; Swarit Jasial; Jürgen Bajorath; Kimito Funatsu
Journal:  J Comput Aided Mol Des       Date:  2019-08-21       Impact factor: 3.686

2.  Identification of steroid-like natural products as antiplasmodial agents by 2D and 3D similarity-based virtual screening.

Authors:  Elumalai Pavadai; Gurminder Kaur; Sergio Wittlin; Kelly Chibale
Journal:  Medchemcomm       Date:  2017-03-22       Impact factor: 3.597

3.  Identification of old drugs as potential inhibitors of HIV-1 integrase - human LEDGF/p75 interaction via molecular docking.

Authors:  Guoping Hu; Xi Li; Xianqiang Sun; Weiqiang Lu; Guixia Liu; Jin Huang; Xu Shen; Yun Tang
Journal:  J Mol Model       Date:  2012-06-26       Impact factor: 1.810

4.  Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.

Authors:  Feixiong Cheng; Zhongming Zhao
Journal:  J Am Med Inform Assoc       Date:  2014-03-18       Impact factor: 4.497

5.  In silico prediction of chemical mechanism of action via an improved network-based inference method.

Authors:  Zengrui Wu; Weiqiang Lu; Dang Wu; Anqi Luo; Hanping Bian; Jie Li; Weihua Li; Guixia Liu; Jin Huang; Feixiong Cheng; Yun Tang
Journal:  Br J Pharmacol       Date:  2016-11-01       Impact factor: 8.739

6.  Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control.

Authors:  Sebastian Raschka; Anne M Scott; Nan Liu; Santosh Gunturu; Mar Huertas; Weiming Li; Leslie A Kuhn
Journal:  J Comput Aided Mol Des       Date:  2018-01-30       Impact factor: 3.686

Review 7.  Machine learning in chemoinformatics and drug discovery.

Authors:  Yu-Chen Lo; Stefano E Rensi; Wen Torng; Russ B Altman
Journal:  Drug Discov Today       Date:  2018-05-08       Impact factor: 7.851

8.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

9.  Molecular docking of alpha-enolase to elucidate the promising candidates against Streptococcus pneumoniae infection.

Authors:  Muhammad Hassan; Atif Amin Baig; Syed Awais Attique; Shafqat Abbas; Fizza Khan; Sara Zahid; Qurat Ul Ain; Muhammad Usman; Nordin Bin Simbak; Mohammad Amjad Kamal; Hanani Ahmad Yusof
Journal:  Daru       Date:  2021-02-03       Impact factor: 3.117

10.  Open-source platform to benchmark fingerprints for ligand-based virtual screening.

Authors:  Sereina Riniker; Gregory A Landrum
Journal:  J Cheminform       Date:  2013-05-30       Impact factor: 5.514

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