Literature DB >> 22395903

A reverse combination of structure-based and ligand-based strategies for virtual screening.

Alvaro Cortés-Cabrera1, Federico Gago, Antonio Morreale.   

Abstract

A new approach is presented that combines structure- and ligand-based virtual screening in a reverse way. Opposite to the majority of the methods, a docking protocol is first employed to prioritize small ligands ("fragments") that are subsequently used as queries to search for similar larger ligands in a database. For a given chemical library, a three-step strategy is followed consisting of (1) contraction into a representative, non-redundant, set of fragments, (2) selection of the three best-scoring fragments docking into a given macromolecular target site, and (3) expansion of the fragments' structures back into ligands by using them as queries to search the library by means of fingerprint descriptions and similarity criteria. We tested the performance of this approach on a collection of fragments and ligands found in the ZINC database and the directory of useful decoys, and compared the results with those obtained using a standard docking protocol. The new method provided better overall results and was several times faster. We also studied the chemical diversity that both methods cover using an in-house compound library and concluded that the novel approach performs similarly but at a much smaller computational cost.

Mesh:

Substances:

Year:  2012        PMID: 22395903     DOI: 10.1007/s10822-012-9558-x

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


  23 in total

1.  Evaluation of docking functions for protein-ligand docking.

Authors:  C Pérez; A R Ortiz
Journal:  J Med Chem       Date:  2001-11-08       Impact factor: 7.446

2.  PDB2PQR: an automated pipeline for the setup of Poisson-Boltzmann electrostatics calculations.

Authors:  Todd J Dolinsky; Jens E Nielsen; J Andrew McCammon; Nathan A Baker
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

Review 3.  Navigating chemical space for biology and medicine.

Authors:  Christopher Lipinski; Andrew Hopkins
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

4.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

5.  Docking performance of fragments and druglike compounds.

Authors:  Marcel L Verdonk; Ilenia Giangreco; Richard J Hall; Oliver Korb; Paul N Mortenson; Christopher W Murray
Journal:  J Med Chem       Date:  2011-07-06       Impact factor: 7.446

6.  Structure-based fragment hopping for lead optimization using predocked fragment database.

Authors:  Fang-Yu Lin; Yufeng J Tseng
Journal:  J Chem Inf Model       Date:  2011-06-15       Impact factor: 4.956

7.  VSDMIP 1.5: an automated structure- and ligand-based virtual screening platform with a PyMOL graphical user interface.

Authors:  Álvaro Cortés Cabrera; Rubén Gil-Redondo; Almudena Perona; Federico Gago; Antonio Morreale
Journal:  J Comput Aided Mol Des       Date:  2011-08-09       Impact factor: 3.686

8.  Computational fragment-based approach at PDB scale by protein local similarity.

Authors:  Fabrice Moriaud; Olivia Doppelt-Azeroual; Laetitia Martin; Ksenia Oguievetskaia; Kerstin Koch; Artem Vorotyntsev; Stewart A Adcock; François Delfaud
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

9.  The Chemistry Development Kit (CDK): an open-source Java library for Chemo- and Bioinformatics.

Authors:  Christoph Steinbeck; Yongquan Han; Stefan Kuhn; Oliver Horlacher; Edgar Luttmann; Egon Willighagen
Journal:  J Chem Inf Comput Sci       Date:  2003 Mar-Apr

10.  CrystalDock: a novel approach to fragment-based drug design.

Authors:  Jacob D Durrant; Aaron J Friedman; J Andrew McCammon
Journal:  J Chem Inf Model       Date:  2011-10-05       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.