Abstract
Protein-protein interactions play a central role in cellular function. Improving the understanding of complex formation has many practical applications, including the rational design of new therapeutic agents and the mechanisms governing signal transduction networks. The generally large, flat, and relatively featureless binding sites of protein complexes pose many challenges for drug design. Fragment docking and direct coupling analysis are used in an integrated computational method to estimate druggable protein-protein interfaces. (i) This method explores the binding of fragment-sized molecular probes on the protein surface using a molecular docking-based screen. (ii) The energetically favorable binding sites of the probes, called hot spots, are spatially clustered to map out candidate binding sites on the protein surface. (iii) A coevolution-based interface interaction score is used to discriminate between different candidate binding sites, yielding potential interfacial targets for therapeutic drug design. This approach is validated for important, well-studied disease-related proteins with known pharmaceutical targets, and also identifies targets that have yet to be studied. Moreover, therapeutic agents are proposed by chemically connecting the fragments that are strongly bound to the hot spots.
Original language | English |
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Pages (from-to) | E8051-E8058 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 113 |
Issue number | 50 |
DOIs | |
State | Published - Dec 13 2016 |
Funding
Work at the Center for Theoretical Biological Physics was sponsored by the National Science Foundation (Grants PHY-1427654, CHE-1614101, and MCB-1241332) and by the Cancer Prevention and Research Institute of Texas (Grant R1110). F.B. was partially supported by Welch Foundation Grant C-1792. H.J. was supported by the National Basic Research Program of China (Grant 2015CB910304) and the National Natural Science Foundation of China (Grants 21210003, 81230076, and 91313000).
Funders | Funder number |
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National Science Foundation Arctic Social Science Program | MCB-1241332, 1241332, CHE-1614101, PHY-1427654, 1427654, 1614101 |
National Science Foundation Arctic Social Science Program | |
Welch Foundation | C-1792 |
Welch Foundation | |
Cancer Prevention and Research Institute of Texas | R1110 |
Cancer Prevention and Research Institute of Texas | |
National Natural Science Foundation of China (NSFC) | 81230076, 21210003, 91313000 |
National Natural Science Foundation of China (NSFC) | |
National Key Basic Research and Development Program of China | 2015CB910304 |
National Key Basic Research and Development Program of China |
Keywords
- Direct coupling analysis
- Drug design
- Druggable surface
- Hot spots
- Protein-protein interface
ASJC Scopus subject areas
- General