Literature DB >> 19816720

New molecular scaffolds for the design of Mycobacterium tuberculosis type II dehydroquinase inhibitors identified using ligand and receptor based virtual screening.

Ashutosh Kumar1, Mohammad Imran Siddiqi, Stanislav Miertus.   

Abstract

Using ligand and receptor based virtual screening approaches we have identified potential virtual screening hits targeting type II dehydroquinase from Mycobacterium tuberculosis, an effective and validated anti-mycobacterial target. Initially, we applied a virtual screening workflow based on a combination of 2D structural fingerprints, 3D pharmacophore and molecular docking to identify compounds that rigidly match specific aspects of ligand bioactive conformation. Subsequently, the resulting compounds were ranked and prioritized using receptor interaction fingerprint based scoring and quantitative structure activity relationship model developed using already known actives. The virtual screening hits prioritized belong to several classes of molecular scaffolds with several available substitution positions that could allow chemical modification to enhance binding affinity. Finally, identified hits may be useful to a medicinal chemist or combinatorial chemist to pick up the new molecular starting points for medicinal chemistry optimization for the design of novel type II dehydroquinase inhibitors.

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Year:  2009        PMID: 19816720     DOI: 10.1007/s00894-009-0595-x

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  43 in total

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Review 2.  Computer-based de novo design of drug-like molecules.

Authors:  Gisbert Schneider; Uli Fechner
Journal:  Nat Rev Drug Discov       Date:  2005-08       Impact factor: 84.694

3.  Rational design, synthesis, and evaluation of nanomolar type II dehydroquinase inhibitors.

Authors:  Richard J Payne; Fabienne Peyrot; Olivier Kerbarh; Andrew D Abell; Chris Abell
Journal:  ChemMedChem       Date:  2007-07       Impact factor: 3.466

4.  A Computer Program for Classifying Plants.

Authors:  D J Rogers; T T Tanimoto
Journal:  Science       Date:  1960-10-21       Impact factor: 47.728

5.  Assessment of scaffold hopping efficiency by use of molecular interaction fingerprints.

Authors:  Jennifer Venhorst; Sara Núñez; Jan Willem Terpstra; Chris G Kruse
Journal:  J Med Chem       Date:  2008-05-01       Impact factor: 7.446

6.  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

7.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

8.  Evidence from kinetic isotope studies for an enolate intermediate in the mechanism of type II dehydroquinases.

Authors:  J M Harris; C Gonzalez-Bello; C Kleanthous; A R Hawkins; J R Coggins; C Abell
Journal:  Biochem J       Date:  1996-10-15       Impact factor: 3.857

9.  Nanomolar competitive inhibitors of Mycobacterium tuberculosis and Streptomyces coelicolor type II dehydroquinase.

Authors:  Verónica F V Prazeres; Cristina Sánchez-Sixto; Luis Castedo; Heather Lamb; Alastair R Hawkins; Alan Riboldi-Tunnicliffe; John R Coggins; Adrian J Lapthorn; Concepción González-Bello
Journal:  ChemMedChem       Date:  2007-02       Impact factor: 3.466

10.  Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

Authors:  G Jones; P Willett; R C Glen
Journal:  J Mol Biol       Date:  1995-01-06       Impact factor: 5.469

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  1 in total

Review 1.  Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery.

Authors:  Sean Ekins; Joel S Freundlich; Inhee Choi; Malabika Sarker; Carolyn Talcott
Journal:  Trends Microbiol       Date:  2010-12-02       Impact factor: 17.079

  1 in total

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