Illingworth, Christopher JR and Scott, Paul D and Parkes, Kevin EB and Snell, Christopher R and Campbell, Matthew P and Reynolds, Christopher A (2010) 'Connectivity and binding-site recognition: Applications relevant to drug design.' Journal of Computational Chemistry, 31 (15). pp. 2677-2688. ISSN 0192-8651
Full text not available from this repository.Abstract
Here, we describe a family of methods based on residue-residue connectivity for characterizing binding sites and apply variants of the method to various types of protein-ligand complexes including proteases, allosteric-binding sites, correctly and incorrectly docked poses, and inhibitors of protein-protein interactions. Residues within ligand-binding sites have about 25% more contact neighbors than surface residues in general; high-connectivity residues are found in contact with the ligand in 84% of all complexes studied. In addition, a k-means algorithm was developed that may be useful for identifying potential binding sites with no obvious geometric or connectivity features. The analysis was primarily carried out on 61 protein-ligand structures from the MEROPS protease database, 250 protein-ligand structures from the PDBSelect (25%), and 30 protein-protein complexes. Analysis of four proteases with crystal structures for multiple bound ligands has shown that residues with high connectivity tend to have less variable side-chain conformation. The relevance to drug design is discussed in terms of identifying allosteric-binding sites, distinguishing between alternative docked poses and designing protein interface inhibitors. Taken together, this data indicate that residue-residue connectivity is highly relevant to medicinal chemistry. © 2010 Wiley Periodicals, Inc.
Item Type: | Article |
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Uncontrolled Keywords: | connectivity; ligand-binding sites; k-means; docking; allosteric-binding sites; protein-protein interface inhibitors; molecular chaperones; local connectivity |
Subjects: | Q Science > QD Chemistry |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Elements |
Depositing User: | Elements |
Date Deposited: | 07 Oct 2011 14:26 |
Last Modified: | 15 Jan 2022 00:31 |
URI: | http://repository.essex.ac.uk/id/eprint/933 |
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