Sperandio O, Reynès CH, Camproux AC, Villoutreix BO. Rationalizing the chemical space of protein-protein interaction inhibitors.
Drug Discov Today 2009;
15:220-9. [PMID:
19969101 DOI:
10.1016/j.drudis.2009.11.007]
[Citation(s) in RCA: 141] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2009] [Revised: 11/17/2009] [Accepted: 11/26/2009] [Indexed: 11/27/2022]
Abstract
Protein-protein interactions (PPIs) are one of the next major classes of therapeutic targets, although they are too intricate to tackle with standard approaches. This is due, in part, to the inadequacy of today's chemical libraries. However, the emergence of a growing number of experimentally validated inhibitors of PPIs (i-PPIs) allows drug designers to use chemoinformatics and machine learning technologies to unravel the nature of the chemical space covered by the reported compounds. Key characteristics of i-PPIs can then be revealed and highlight the importance of specific shapes and/or aromatic bonds, enabling the design of i-PPI-enriched focused libraries and, therefore, of cost-effective screening strategies.
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