Literature DB >> 15288245

High-throughput docking as a source of novel drug leads.

Juan C Alvarez1.   

Abstract

Receptor-based virtual screening has become a viable source of novel leads in the pharmaceutical industry. The rapidly growing availability of structural information across protein families, the accessibility to increased computational power at affordable cost, as well as an improved understanding on how to effectively apply virtual screening technologies has contributed to their emergence. Nonetheless, continued improvement in the accuracy of scoring functions and a greater understanding of protein mobility is critical to advance the technology further.

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Year:  2004        PMID: 15288245     DOI: 10.1016/j.cbpa.2004.05.001

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  28 in total

1.  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

2.  Computer-aided drug design platform using PyMOL.

Authors:  Markus A Lill; Matthew L Danielson
Journal:  J Comput Aided Mol Des       Date:  2010-10-30       Impact factor: 3.686

3.  Development and validation of a modular, extensible docking program: DOCK 5.

Authors:  Demetri T Moustakas; P Therese Lang; Scott Pegg; Eric Pettersen; Irwin D Kuntz; Natasja Brooijmans; Robert C Rizzo
Journal:  J Comput Aided Mol Des       Date:  2006-12-06       Impact factor: 3.686

4.  Benchmarking sets for molecular docking.

Authors:  Niu Huang; Brian K Shoichet; John J Irwin
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

Review 5.  Ligand discovery and virtual screening using the program LIDAEUS.

Authors:  P Taylor; E Blackburn; Y G Sheng; S Harding; K-Y Hsin; D Kan; S Shave; M D Walkinshaw
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

6.  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

Review 7.  G protein betagamma subunits as targets for small molecule therapeutic development.

Authors:  Alan V Smrcka; David M Lehmann; Axel L Dessal
Journal:  Comb Chem High Throughput Screen       Date:  2008-06       Impact factor: 1.339

8.  A critical assessment of the performance of protein-ligand scoring functions based on NMR chemical shift perturbations.

Authors:  Bing Wang; Lance M Westerhoff; Kenneth M Merz
Journal:  J Med Chem       Date:  2007-09-15       Impact factor: 7.446

9.  An enriched structural kinase database to enable kinome-wide structure-based analyses and drug discovery.

Authors:  Natasja Brooijmans; Yu-Wei Chang; Dominick Mobilio; Rajiah A Denny; Christine Humblet
Journal:  Protein Sci       Date:  2010-04       Impact factor: 6.725

10.  Evaluation of different virtual screening programs for docking in a charged binding pocket.

Authors:  Wei Deng; Christophe L M J Verlinde
Journal:  J Chem Inf Model       Date:  2008-09-27       Impact factor: 4.956

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