Submit Manuscript  

Article Details


Computational Drug Design Targeting Protein-Protein Interactions

[ Vol. 18 , Issue. 9 ]

Author(s):

Rachelle J. Bienstock   Pages 1240 - 1254 ( 15 )

Abstract:


Novel discoveries in molecular disease pathways within the cell, combined with increasing information regarding protein binding partners has lead to a new approach in drug discovery. There is interest in designing drugs to modulate protein-protein interactions as opposed to solely targeting the catalytic active site within a single enzyme or protein. There are many challenges in this new approach to drug discovery, particularly since the protein-protein interface has a larger surface area, can comprise a discontinuous epitope, and is more amorphous and less well defined than the typical drug design target, a small contained enzyme-binding pocket. Computational methods to predict modes of protein-protein interaction, as well as protein interface hot spots, have garnered significant interest, in order to facilitate the development of drugs to successfully disrupt and inhibit protein-protein interactions. This review summarizes some current methods available for computational protein-protein docking, as well as tabulating some examples of the successful design of antagonists and small molecule inhibitors for protein-protein interactions. Several of these drugs are now beginning to appear in the clinic.

Keywords:

Protein-protein interactions, fragment-based ligand design, protein-protein inhibitors, computational drug design, structure-based ligand design, protein-interface hot-spots

Affiliation:

National Institute of Environmental Health Sciences, PO Box 12233 MD F0-011, Research Triangle Park, NC 27709, USA



Read Full-Text article