Literature DB >> 21053053

Biased retrieval of chemical series in receptor-based virtual screening.

Natasja Brooijmans1, Jason B Cross, Christine Humblet.   

Abstract

Using the kinases in the DUD dataset and an in-house HTS dataset from PI3K-γ, receptor-based virtual screening experiments were performed using Glide SP docking. While significant enrichments were observed for eight of the nine targets in the set, more detailed analyses highlighted that much of the early enrichment (10-80%) is the result of retrieval of a single cluster of active compounds. This biased retrieval was not necessarily due to early enrichment of the cluster containing the co-crystallized ligand. Virtual screening validation studies could thus benefit from including cluster-based analyses to assess enrichment of diverse chemotypes.

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Year:  2010        PMID: 21053053     DOI: 10.1007/s10822-010-9394-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  58 in total

1.  Virtual screening using protein-ligand docking: avoiding artificial enrichment.

Authors:  Marcel L Verdonk; Valerio Berdini; Michael J Hartshorn; Wijnand T M Mooij; Christopher W Murray; Richard D Taylor; Paul Watson
Journal:  J Chem Inf Comput Sci       Date:  2004 May-Jun

2.  Comparative evaluation of eight docking tools for docking and virtual screening accuracy.

Authors:  Esther Kellenberger; Jordi Rodrigo; Pascal Muller; Didier Rognan
Journal:  Proteins       Date:  2004-11-01

3.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

5.  Chemical space sampling by different scoring functions and crystal structures.

Authors:  Natasja Brooijmans; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2010-04-18       Impact factor: 3.686

6.  Identification of chemically diverse Chk1 inhibitors by receptor-based virtual screening.

Authors:  Nicolas Foloppe; Lisa M Fisher; Rob Howes; Andrew Potter; Alan G S Robertson; Allan E Surgenor
Journal:  Bioorg Med Chem       Date:  2006-03-29       Impact factor: 3.641

Review 7.  Improved lead-finding for kinase targets using high-throughput docking.

Authors:  Campbell McInnes
Journal:  Curr Opin Drug Discov Devel       Date:  2006-05

8.  Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?

Authors:  Andrew C Good; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 3.686

9.  Development and experimental validation of a docking strategy for the generation of kinase-targeted libraries.

Authors:  Rafael Gozalbes; Laurence Simon; Nicolas Froloff; Eric Sartori; Claude Monteils; Romuald Baudelle
Journal:  J Med Chem       Date:  2008-05-15       Impact factor: 7.446

10.  Structure-based discovery of inhibitors of the YycG histidine kinase: new chemical leads to combat Staphylococcus epidermidis infections.

Authors:  Zhiqiang Qin; Jian Zhang; Bin Xu; Lili Chen; Yang Wu; Xiaomei Yang; Xu Shen; Soeren Molin; Antoine Danchin; Hualiang Jiang; Di Qu
Journal:  BMC Microbiol       Date:  2006-11-10       Impact factor: 3.605

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