Literature DB >> 15853666

New methodologies for ligand-based virtual screening.

Florence L Stahura1, Jürgen Bajorath.   

Abstract

Computational screening of compound databases has become increasingly popular in pharmaceutical research. Virtual screening approaches can roughly be divided into target structure-based screening (often referred to as docking) and screening using active compounds as templates (ligand-based virtual screening). Ligand-based screening techniques essentially focus on comparative molecular similarity analysis of compounds with known and unknown activity, regardless of the methods or algorithms used. In this review, we first provide an overview of widely used ligand-based virtual screening approaches including various database filters and then discuss recent trends in this field and new methodological developments.

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Year:  2005        PMID: 15853666     DOI: 10.2174/1381612053507549

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  23 in total

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Journal:  Proteins       Date:  2010-01

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4.  Exploring conformational search protocols for ligand-based virtual screening and 3-D QSAR modeling.

Authors:  Daniel Cappel; Steven L Dixon; Woody Sherman; Jianxin Duan
Journal:  J Comput Aided Mol Des       Date:  2014-11-19       Impact factor: 3.686

5.  Discovery of novel SERCA inhibitors by virtual screening of a large compound library.

Authors:  Christopher Elam; Michael Lape; Joel Deye; Jodie Zultowsky; David T Stanton; Stefan Paula
Journal:  Eur J Med Chem       Date:  2011-02-25       Impact factor: 6.514

6.  FINDSITEcomb2.0: A New Approach for Virtual Ligand Screening of Proteins and Virtual Target Screening of Biomolecules.

Authors:  Hongyi Zhou; Hongnan Cao; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2018-10-16       Impact factor: 4.956

7.  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

8.  De novo discovery of serotonin N-acetyltransferase inhibitors.

Authors:  Lawrence M Szewczuk; S Adrian Saldanha; Surajit Ganguly; Erin M Bowers; Margarita Javoroncov; Balasubramanyam Karanam; Jeffrey C Culhane; Marc A Holbert; David C Klein; Ruben Abagyan; Philip A Cole
Journal:  J Med Chem       Date:  2007-10-09       Impact factor: 7.446

9.  Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.

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Journal:  J Chem Inf Model       Date:  2018-05-08       Impact factor: 4.956

10.  Virtual Screening as a Technique for PPAR Modulator Discovery.

Authors:  Stephanie N Lewis; Josep Bassaganya-Riera; David R Bevan
Journal:  PPAR Res       Date:  2009-09-02       Impact factor: 4.964

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