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DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry
DR_bind is a web server that automatically predicts DNA-binding residues, given the respective protein structure based on (i) electrostatics, (ii) evolution and (iii) geometry. In contrast to machine-learning methods, DR_bind does not require a training data set or any parameters. It predicts DNA-bi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394278/ https://www.ncbi.nlm.nih.gov/pubmed/22661576 http://dx.doi.org/10.1093/nar/gks481 |
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author | Chen, Yao Chi Wright, Jon D. Lim, Carmay |
author_facet | Chen, Yao Chi Wright, Jon D. Lim, Carmay |
author_sort | Chen, Yao Chi |
collection | PubMed |
description | DR_bind is a web server that automatically predicts DNA-binding residues, given the respective protein structure based on (i) electrostatics, (ii) evolution and (iii) geometry. In contrast to machine-learning methods, DR_bind does not require a training data set or any parameters. It predicts DNA-binding residues by detecting a cluster of conserved, solvent-accessible residues that are electrostatically stabilized upon mutation to Asp(−)/Glu(−). The server requires as input the DNA-binding protein structure in PDB format and outputs a downloadable text file of the predicted DNA-binding residues, a 3D visualization of the predicted residues highlighted in the given protein structure, and a downloadable PyMol script for visualization of the results. Calibration on 83 and 55 non-redundant DNA-bound and DNA-free protein structures yielded a DNA-binding residue prediction accuracy/precision of 90/47% and 88/42%, respectively. Since DR_bind does not require any training using protein–DNA complex structures, it may predict DNA-binding residues in novel structures of DNA-binding proteins resulting from structural genomics projects with no conservation data. The DR_bind server is freely available with no login requirement at http://dnasite.limlab.ibms.sinica.edu.tw. |
format | Online Article Text |
id | pubmed-3394278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-33942782012-07-30 DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry Chen, Yao Chi Wright, Jon D. Lim, Carmay Nucleic Acids Res Articles DR_bind is a web server that automatically predicts DNA-binding residues, given the respective protein structure based on (i) electrostatics, (ii) evolution and (iii) geometry. In contrast to machine-learning methods, DR_bind does not require a training data set or any parameters. It predicts DNA-binding residues by detecting a cluster of conserved, solvent-accessible residues that are electrostatically stabilized upon mutation to Asp(−)/Glu(−). The server requires as input the DNA-binding protein structure in PDB format and outputs a downloadable text file of the predicted DNA-binding residues, a 3D visualization of the predicted residues highlighted in the given protein structure, and a downloadable PyMol script for visualization of the results. Calibration on 83 and 55 non-redundant DNA-bound and DNA-free protein structures yielded a DNA-binding residue prediction accuracy/precision of 90/47% and 88/42%, respectively. Since DR_bind does not require any training using protein–DNA complex structures, it may predict DNA-binding residues in novel structures of DNA-binding proteins resulting from structural genomics projects with no conservation data. The DR_bind server is freely available with no login requirement at http://dnasite.limlab.ibms.sinica.edu.tw. Oxford University Press 2012-07 2012-05-31 /pmc/articles/PMC3394278/ /pubmed/22661576 http://dx.doi.org/10.1093/nar/gks481 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Chen, Yao Chi Wright, Jon D. Lim, Carmay DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title | DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title_full | DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title_fullStr | DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title_full_unstemmed | DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title_short | DR_bind: a web server for predicting DNA-binding residues from the protein structure based on electrostatics, evolution and geometry |
title_sort | dr_bind: a web server for predicting dna-binding residues from the protein structure based on electrostatics, evolution and geometry |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394278/ https://www.ncbi.nlm.nih.gov/pubmed/22661576 http://dx.doi.org/10.1093/nar/gks481 |
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