FieldScreen: Virtual Screening Using Molecular Fields. Application to the DUD Data Set

Timothy J. Cheeseright*, Mark D. Mackey, James L. Melville and Jeremy G. Vinter
Cresset BioMolecular Discovery Ltd., BioPark Hertfordshire, Broadwater Road, Welwyn Garden City, Hertfordshire AL7 3AX, United Kingdom
J. Chem. Inf. Model., 2008, 48 (11), pp 2108–2117
DOI: 10.1021/ci800110p
Publication Date (Web): November 7, 2008
Copyright © 2008 American Chemical Society
* Corresponding author phone: +44 1707 356120; e-mail: tim@cresset-bmd.com.

Abstract

Abstract Image

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.

Citing Articles

View all 14 citing articles

Citation data is made available by participants in CrossRef's Cited-by Linking service. For a more comprehensive list of citations to this article, users are encouraged to perform a search in SciFinder.

This article has been cited by 14 ACS Journal articles (5 most recent appear below).

  • Cover Image

    Cheminformatics Meets Molecular Mechanics: A Combined Application of Knowledge-Based Pose Scoring and Physical Force Field-Based Hit Scoring Functions Improves the Accuracy of Structure-Based Virtual Screening

    Jui-Hua Hsieh, Shuangye Yin, Xiang S. Wang, Shubin Liu, Nikolay V. Dokholyan, and Alexander Tropsha
    Journal of Chemical Information and Modeling2012 52 (1), 16-28
    • Cheminformatics Meets Molecular Mechanics: A Combined Application of Knowledge-Based Pose Scoring and Physical Force Field-Based Hit Scoring Functions Improves the Accuracy of Structure-Based Virtual Screening

      Jui-Hua Hsieh, Shuangye Yin, Xiang S. Wang, Shubin Liu, Nikolay V. Dokholyan, and Alexander Tropsha
      Journal of Chemical Information and Modeling2012 52 (1), 16-28

      Poor performance of scoring functions is a well-known bottleneck in structure-based virtual screening (VS), which is most frequently manifested in the scoring functions’ inability to discriminate between true ligands vs known nonbinders (therefore ...

  • Cover Image

    Virtual Screening Data Fusion Using Both Structure- and Ligand-Based Methods

    Fredrik Svensson, Anders Karlén, and Christian Sköld
    Journal of Chemical Information and Modeling2012 52 (1), 225-232
    • Virtual Screening Data Fusion Using Both Structure- and Ligand-Based Methods

      Fredrik Svensson, Anders Karlén, and Christian Sköld
      Journal of Chemical Information and Modeling2012 52 (1), 225-232

      Virtual screening is widely applied in drug discovery, and significant effort has been put into improving current methods. In this study, we have evaluated the performance of compound ranking in virtual screening using five different data fusion ...

  • Cover Image

    SHAFTS: A Hybrid Approach for 3D Molecular Similarity Calculation. 1. Method and Assessment of Virtual Screening

    Xiaofeng Liu, Hualiang Jiang, and Honglin Li
    Journal of Chemical Information and Modeling2011 51 (9), 2372-2385
    • SHAFTS: A Hybrid Approach for 3D Molecular Similarity Calculation. 1. Method and Assessment of Virtual Screening

      Xiaofeng Liu, Hualiang Jiang, and Honglin Li
      Journal of Chemical Information and Modeling2011 51 (9), 2372-2385

      We developed a novel approach called SHAFTS (SHApe-FeaTure Similarity) for 3D molecular similarity calculation and ligand-based virtual screening. SHAFTS adopts a hybrid similarity metric combined with molecular shape and colored (labeled) chemistry ...

  • Cover Image

    Selectivity of Kinase Inhibitor Fragments

    Paul Bamborough, Murray J. Brown, John A. Christopher, Chun-wa Chung, and Geoff W. Mellor
    Journal of Medicinal Chemistry2011 54 (14), 5131-5143
    • Selectivity of Kinase Inhibitor Fragments

      Paul Bamborough, Murray J. Brown, John A. Christopher, Chun-wa Chung, and Geoff W. Mellor
      Journal of Medicinal Chemistry2011 54 (14), 5131-5143

      A kinase-focused screening set of fragments has been assembled and has proved successful for the discovery of ligand-efficient hits against many targets. Here we present some of our general conclusions from this exercise. Notably, we present the first ...

  • Cover Image

    Comparison of Virtual High-Throughput Screening Methods for the Identification of Phosphodiesterase-5 Inhibitors

    Sanna P. Niinivehmas, Salla I. Virtanen, Jukka V. Lehtonen, Pekka A. Postila, and Olli T. Pentikäinen
    Journal of Chemical Information and Modeling2011 51 (6), 1353-1363
    • Comparison of Virtual High-Throughput Screening Methods for the Identification of Phosphodiesterase-5 Inhibitors

      Sanna P. Niinivehmas, Salla I. Virtanen, Jukka V. Lehtonen, Pekka A. Postila, and Olli T. Pentikäinen
      Journal of Chemical Information and Modeling2011 51 (6), 1353-1363

      Reliable and effective virtual high-throughput screening (vHTS) methods are desperately needed to minimize the expenses involved in drug discovery projects. Here, we present an improvement to the negative image-based (NIB) screening: the shape, the ...

Tools

SciFinder Links

SciFinder subscribers:  Click to sign in | Not a SciFinder subscriber? Learn more at www.cas.org

Explore by:


History

  • Published In Issue November 24, 2008
  • Article ASAPNovember 08, 2008
  • Received: April 14, 2008

Recommend & Share

  • Share on ACS NetworkACS Network
  • Add to FacebookFacebook
  • Tweet ThisTweet This
  • Add to CiteULikeCiteULike
  • Add to NewsvineNewsvine
  • Digg ThisDigg This
  • Add to DeliciousDelicious

Related Content

Other ACS content by these authors: