期刊
NUCLEIC ACIDS RESEARCH
卷 40, 期 15, 页码 7150-7161出版社
OXFORD UNIV PRESS
DOI: 10.1093/nar/gks405
关键词
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资金
- Department of Science and Technology, India
- Council of Scientific and Industrial Research
- Department of Biotechnology
We present a set of four parameters that in combination can predict DNA-binding residues on protein structures to a high degree of accuracy. These are the number of evolutionary conserved residues (N-cons) and their spatial clustering (rho(e)), hydrogen bond donor capability (D-p) and residue propensity (R-p). We first used these parameters to characterize 130 interfaces in a set of 126 DNA-binding proteins (DBPs). The applicability of these parameters both individually and in combination, to distinguish the true binding region from the rest of the protein surface was then analyzed. R-p shows the best performance identifying the true interface with the top rank in 83% cases. Importantly, we also used the unbound-bound test cases of the protein-DNA docking benchmark to test the efficacy of our method. When applied to the unbound form of the DBPs, R-p can distinguish 86% cases. Finally, we have applied the SVM approach for recognizing the interface region using the above parameters along with the individual amino acid composition as attributes. The accuracy of prediction is 90.5% for the bound structures and 93.6% for the unbound form of the proteins.
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