Literature DB >> 12871063

Pharmacophore discovery--lessons learned.

John H van Drie1.   

Abstract

Pharmacophore discovery is one of the major elements of molecular modeling in the absence of X-ray structural data. While pharmacophores initially made their debut as a means for lead discovery, more recent refinements have brought them into the domain of lead optimization, e.g. as a means to define the molecular alignment in 3D-QSAR. In this review, the experiences of over a decade of confronting and solving the challenges of pharmacophore discovery applied to actual drug discovery are summarized. Also, practical tips are described for using the author's methodology for pharmacophore discovery, DANTE.

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Year:  2003        PMID: 12871063     DOI: 10.2174/1381612033454568

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  24 in total

1.  Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.

Authors:  Rand Shahin; Saja Alqtaishat; Mutasem O Taha
Journal:  J Comput Aided Mol Des       Date:  2011-12-14       Impact factor: 3.686

2.  3D-QSAR illusions.

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

3.  Generation of multiple pharmacophore hypotheses using multiobjective optimisation techniques.

Authors:  Simon J Cottrell; Valerie J Gillet; Robin Taylor; David J Wilton
Journal:  J Comput Aided Mol Des       Date:  2004-11       Impact factor: 3.686

4.  PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

Authors:  Steven L Dixon; Alexander M Smondyrev; Eric H Knoll; Shashidhar N Rao; David E Shaw; Richard A Friesner
Journal:  J Comput Aided Mol Des       Date:  2006-11-24       Impact factor: 3.686

5.  Incorporating partial matches within multi-objective pharmacophore identification.

Authors:  Simon J Cottrell; Valerie J Gillet; Robin Taylor
Journal:  J Comput Aided Mol Des       Date:  2007-01-04       Impact factor: 3.686

Review 6.  Pharmacophore-based discovery of ligands for drug transporters.

Authors:  Cheng Chang; Sean Ekins; Praveen Bahadduri; Peter W Swaan
Journal:  Adv Drug Deliv Rev       Date:  2006-09-26       Impact factor: 15.470

7.  Computer-aided drug design: the next 20 years.

Authors:  John H Van Drie
Journal:  J Comput Aided Mol Des       Date:  2007-11-08       Impact factor: 3.686

Review 8.  Community benchmarks for virtual screening.

Authors:  John J Irwin
Journal:  J Comput Aided Mol Des       Date:  2008-02-14       Impact factor: 3.686

9.  Screening of benzamidine-based thrombin inhibitors via a linear interaction energy in continuum electrostatics model.

Authors:  Orazio Nicolotti; Ilenia Giangreco; Teresa Fabiola Miscioscia; Marino Convertino; Francesco Leonetti; Leonardo Pisani; Angelo Carotti
Journal:  J Comput Aided Mol Des       Date:  2010-02-11       Impact factor: 3.686

10.  Molecular shape and medicinal chemistry: a perspective.

Authors:  Anthony Nicholls; Georgia B McGaughey; Robert P Sheridan; Andrew C Good; Gregory Warren; Magali Mathieu; Steven W Muchmore; Scott P Brown; J Andrew Grant; James A Haigh; Neysa Nevins; Ajay N Jain; Brian Kelley
Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

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