A computational tool to predict the evolutionarily conserved protein-protein interaction hot-spot residues from the structure of the unbound protein
Author(s)
Agrawal, Neeraj J.; Helk, Bernhard; Trout, Bernhardt L.
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Identifying hot-spot residues – residues that are critical to protein–protein binding – can help to elucidate a protein's function and assist in designing therapeutic molecules to target those residues. We present a novel computational tool, termed spatial-interaction-map (SIM), to predict the hot-spot residues of an evolutionarily conserved protein–protein interaction from the structure of an unbound protein alone. SIM can predict the protein hot-spot residues with an accuracy of 36–57%. Thus, the SIM tool can be used to predict the yet unknown hot-spot residues for many proteins for which the structure of the protein–protein complexes are not available, thereby providing a clue to their functions and an opportunity to design therapeutic molecules to target these proteins.
Date issued
2013-11Department
Massachusetts Institute of Technology. Department of Chemical EngineeringJournal
FEBS Letters
Publisher
Elsevier
Citation
Agrawal, Neeraj J., Bernhard Helk, and Bernhardt L. Trout. “A Computational Tool to Predict the Evolutionarily Conserved Protein-Protein Interaction Hot-Spot Residues from the Structure of the Unbound Protein.” FEBS Letters 588, no. 2 (November 12, 2013): 326–333.
Version: Author's final manuscript
ISSN
00145793
1873-3468