Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
Author(s) -
Yao Chi Chen,
Carmay Lim
Publication year - 2008
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkn008
Subject(s) - rna , biology , binding site , nucleic acid structure , protein structure , static electricity , biophysics , crystallography , biochemistry , chemistry , gene , physics , quantum mechanics
[[abstract]]An RNA-binding protein places a surface helix, -ribbon, or loop in an RNA helix groove and/or uses a cavity to accommodate unstacked bases. Hence, our strategy for predicting RNA-binding residues is based on detecting a surface patch and a disparate cleft. These were generated and scored according to the gas-phase electrostatic energy change upon mutating each residue to Asp/Glu and each residues relative conservation. The method requires as input the protein structure and sufficient homologous sequences to define each residues relative conservation. It yields as output a priority list of surface patch residues followed by a backup list of surface cleft residues distant from the patch residues for experimental testing of RNA binding. Among the 69 structurally non-homologous proteins tested, 81 possess a RNA-binding site with at least 70 of the maximum number of true positives in randomly generated patches of the same size as the predicted site; only two proteins did not contain any true RNA-binding residues in both predicted regions. Regardless of the protein conformational changes upon RNA-binding, the prediction accuracies based on the RNA-free/bound protein structures were found to be comparable and their binding sites overlapped as long as there are no disordered RNA-binding regions in the free structure that are ordered in the corresponding RNA-bound protein structure.[[fileno]]2020129010028[[department]]化學
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