Literature DB >> 18991371

FieldScreen: virtual screening using molecular fields. Application to the DUD data set.

Timothy J Cheeseright1, Mark D Mackey, James L Melville, Jeremy G Vinter.   

Abstract

FieldScreen, a ligand-based Virtual Screening (VS) method, is described. Its use of 3D molecular fields makes it particularly suitable for scaffold hopping, and we have rigorously validated it for this purpose using a clustered version of the Directory of Useful Decoys (DUD). Using thirteen pharmaceutically relevant targets, we demonstrate that FieldScreen produces superior early chemotype enrichments, compared to DOCK. Additionally, hits retrieved by FieldScreen are consistently lower in molecular weight than those retrieved by docking. Where no X-ray protein structures are available, FieldScreen searches are more robust than docking into homology models or apo structures.

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Year:  2008        PMID: 18991371     DOI: 10.1021/ci800110p

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


  29 in total

1.  ElectroShape: fast molecular similarity calculations incorporating shape, chirality and electrostatics.

Authors:  M Stuart Armstrong; Garrett M Morris; Paul W Finn; Raman Sharma; Loris Moretti; Richard I Cooper; W Graham Richards
Journal:  J Comput Aided Mol Des       Date:  2010-07-08       Impact factor: 3.686

2.  Improving performance of docking-based virtual screening by structural filtration.

Authors:  Fedor N Novikov; Viktor S Stroylov; Oleg V Stroganov; Ghermes G Chilov
Journal:  J Mol Model       Date:  2009-12-30       Impact factor: 1.810

3.  LIGSIFT: an open-source tool for ligand structural alignment and virtual screening.

Authors:  Ambrish Roy; Jeffrey Skolnick
Journal:  Bioinformatics       Date:  2014-10-21       Impact factor: 6.937

4.  A novel, customizable and optimizable parameter method using spherical harmonics for molecular shape similarity comparisons.

Authors:  Chaoqian Cai; Jiayu Gong; Xiaofeng Liu; Hualiang Jiang; Daqi Gao; Honglin Li
Journal:  J Mol Model       Date:  2011-07-30       Impact factor: 1.810

Review 5.  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

6.  Application of 3D Zernike descriptors to shape-based ligand similarity searching.

Authors:  Vishwesh Venkatraman; Padmasini Ramji Chakravarthy; Daisuke Kihara
Journal:  J Cheminform       Date:  2009-12-17       Impact factor: 5.514

7.  Estimation of the applicability domain of kernel-based machine learning models for virtual screening.

Authors:  Nikolas Fechner; Andreas Jahn; Georg Hinselmann; Andreas Zell
Journal:  J Cheminform       Date:  2010-03-11       Impact factor: 5.514

8.  Optimal assignment methods for ligand-based virtual screening.

Authors:  Andreas Jahn; Georg Hinselmann; Nikolas Fechner; Andreas Zell
Journal:  J Cheminform       Date:  2009-08-25       Impact factor: 5.514

9.  Identification of a small molecule HIV-1 inhibitor that targets the capsid hexamer.

Authors:  Jimmy P Xu; Jeffrey D Branson; Rae Lawrence; Simon Cocklin
Journal:  Bioorg Med Chem Lett       Date:  2015-12-25       Impact factor: 2.823

10.  Ligand scaffold hopping combining 3D maximal substructure search and molecular similarity.

Authors:  Flavien Quintus; Olivier Sperandio; Julien Grynberg; Michel Petitjean; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-08-11       Impact factor: 3.169

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