| Literature DB >> 20609615 |
James T Metz1, Philip J Hajduk.
Abstract
Many successful drugs bind to and modulate multiple targets in vivo. Successfully navigating protein-ligand polypharmacology will be a crucial and increasingly utilized component of pharmaceutical research. As publicly available databases of ligand activity values continue to grow in size and quality, infrastructure is needed to enable scientists to create and interact with these networks to fuel hypothesis-driven science. While most of the individual tools for creating this infrastructure exist, effectively connecting the data to the network to the scientist is very much a work in progress. Standards for publishing network data are also important to facilitate the analysis and comparison of networks from different research groups using different methods. 2010 Elsevier Ltd. All rights reserved.Mesh:
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Year: 2010 PMID: 20609615 DOI: 10.1016/j.cbpa.2010.06.166
Source DB: PubMed Journal: Curr Opin Chem Biol ISSN: 1367-5931 Impact factor: 8.822