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Phys. Rev. Lett. 99, 198101 (2007) [4 pages]

Quantifying Intrinsic Specificity: A Potential Complement to Affinity in Drug Screening

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Jin Wang1,2,*, Xiliang Zheng1, Yongliang Yang2, Dale Drueckhammer2, Wei Yang3, Gennardy Verkhivker4, and Erkang Wang1
1State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences Changchun, Jilin 130022 People’s Republic of China
2Department of Chemistry and Department of Physics, State University of New York at Stony Brook, Stony Brook, New York 11794-3400, USA
3Department of Chemistry, Florida State University, Tallahassee, Florida 32306-4390, USA
4Pfizer Global Research and Development, La Jolla Laboratories, 10777, Science Center Drive, San Diego, California 92121, USA

Received 23 October 2006; published 6 November 2007

We report here the investigation of a novel description of specificity in protein-ligand binding based on energy landscape theory. We define a new term, intrinsic specificity ratio (ISR), which describes the level of discrimination in binding free energies of the native basin for a protein-ligand complex from the weaker binding states of the same ligand. We discuss the relationship between the intrinsic specificity we defined here and the conventional definition of specificity. In a docking study of molecules with the enzyme COX-2, we demonstrate a statistical correspondence between ISR value and geometrical shapes of the small molecules binding to COX-2. We further observe that the known selective (nonselective) inhibitors of COX-2 have higher (lower) ISR values. We suggest that intrinsic specificity ratio may be a useful new criterion and a complement to affinity in drug screening and in searching for potential drug lead compounds.

© 2007 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.99.198101
DOI:
10.1103/PhysRevLett.99.198101
PACS:
87.15.−v

*Corresponding Authors: jin.wang.1@stonybrook.edu.