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Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry

An RNA-binding protein places a surface helix, β-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...

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Detalles Bibliográficos
Autores principales: Chen, Yao Chi, Lim, Carmay
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275128/
https://www.ncbi.nlm.nih.gov/pubmed/18276647
http://dx.doi.org/10.1093/nar/gkn008
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author Chen, Yao Chi
Lim, Carmay
author_facet Chen, Yao Chi
Lim, Carmay
author_sort Chen, Yao Chi
collection PubMed
description An RNA-binding protein places a surface helix, β-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 residue's relative conservation. The method requires as input the protein structure and sufficient homologous sequences to define each residue's 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.
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spelling pubmed-22751282008-04-07 Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry Chen, Yao Chi Lim, Carmay Nucleic Acids Res Methods Online An RNA-binding protein places a surface helix, β-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 residue's relative conservation. The method requires as input the protein structure and sufficient homologous sequences to define each residue's 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. Oxford University Press 2008-03 2008-02-14 /pmc/articles/PMC2275128/ /pubmed/18276647 http://dx.doi.org/10.1093/nar/gkn008 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Chen, Yao Chi
Lim, Carmay
Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title_full Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title_fullStr Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title_full_unstemmed Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title_short Predicting RNA-binding sites from the protein structure based on electrostatics, evolution and geometry
title_sort predicting rna-binding sites from the protein structure based on electrostatics, evolution and geometry
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275128/
https://www.ncbi.nlm.nih.gov/pubmed/18276647
http://dx.doi.org/10.1093/nar/gkn008
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