Literature DB >> 23480538

Mining free compound databases to identify candidates selected by virtual screening.

Sridhar R Vasudevan1, Grant C Churchill.   

Abstract

BACKGROUND: The search for effective ways to discover new and better chemical probes to explore basic biology is never ending. With the advent of genomics and proteomics, data are rapidly accumulating on the role of several proteins and their implications in cellular function. However, the accumulation of knowledge on new proteins is not reciprocated at the level of new chemical probes that would help us understand protein function by modulating it. An emerging solution is virtual screening in which millions of molecules are evaluated with computers rapidly and cheaply relative to high-throughput screening. OBJECTIVE/
METHOD: In this perspective we will use our experience to illustrate how small, modestly funded laboratories can use virtual screening successfully to develop chemical probes. The chief contributors to make this possible are the availability of free databases containing purchasable compounds and powerful and accessible software.
CONCLUSION: That virtual screening can be used to find chemical probes is a reality. Unfortunately, groups that would benefit most from this powerful technique underuse it. Making biologists aware of the existence or capability of virtual screening will greatly speed the identification of new chemical probes.

Entities:  

Year:  2009        PMID: 23480538     DOI: 10.1517/17460440903190953

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  2 in total

1.  Hierarchical virtual screening for the discovery of new molecular scaffolds in antibacterial hit identification.

Authors:  Pedro J Ballester; Martina Mangold; Nigel I Howard; Richard L Marchese Robinson; Chris Abell; Jochen Blumberger; John B O Mitchell
Journal:  J R Soc Interface       Date:  2012-08-29       Impact factor: 4.118

Review 2.  Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening.

Authors:  Qurrat Ul Ain; Antoniya Aleksandrova; Florian D Roessler; Pedro J Ballester
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-08-28
  2 in total

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