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Biology 2015, 4(2), 282-297; doi:10.3390/biology4020282

NPPD: A Protein-Protein Docking Scoring Function Based on Dyadic Differences in Networks of Hydrophobic and Hydrophilic Amino Acid Residues

Institute of Biomedical Sciences, Academia Sinica, Nankang, Taipei 115, Taiwan
Author to whom correspondence should be addressed.
Academic Editor: Thorsten Berg
Received: 27 November 2014 / Accepted: 16 March 2015 / Published: 24 March 2015
(This article belongs to the Special Issue Protein-Protein Interactions)
View Full-Text   |   Download PDF [416 KB, uploaded 24 March 2015]   |  


Protein-protein docking (PPD) predictions usually rely on the use of a scoring function to rank docking models generated by exhaustive sampling. To rank good models higher than bad ones, a large number of scoring functions have been developed and evaluated, but the methods used for the computation of PPD predictions remain largely unsatisfactory. Here, we report a network-based PPD scoring function, the NPPD, in which the network consists of two types of network nodes, one for hydrophobic and the other for hydrophilic amino acid residues, and the nodes are connected when the residues they represent are within a certain contact distance. We showed that network parameters that compute dyadic interactions and those that compute heterophilic interactions of the amino acid networks thus constructed allowed NPPD to perform well in a benchmark evaluation of 115 PPD scoring functions, most of which, unlike NPPD, are based on some sort of protein-protein interaction energy. We also showed that NPPD was highly complementary to these energy-based scoring functions, suggesting that the combined use of conventional scoring functions and NPPD might significantly improve the accuracy of current PPD predictions. View Full-Text
Keywords: protein-protein docking; scoring function; dyadicity; amino acid network protein-protein docking; scoring function; dyadicity; amino acid network

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Shih, E.S.C.; Hwang, M.-J. NPPD: A Protein-Protein Docking Scoring Function Based on Dyadic Differences in Networks of Hydrophobic and Hydrophilic Amino Acid Residues. Biology 2015, 4, 282-297.

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