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Ensemble approach to predict specificity determinants: benchmarking and validation

BACKGROUND: It is extremely important and challenging to identify the sites that are responsible for functional specification or diversification in protein families. In this study, a rigorous comparative benchmarking protocol was employed to provide a reliable evaluation of methods which predict the...

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Autores principales: Chakrabarti, Saikat, Panchenko, Anna R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716344/
https://www.ncbi.nlm.nih.gov/pubmed/19573245
http://dx.doi.org/10.1186/1471-2105-10-207
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author Chakrabarti, Saikat
Panchenko, Anna R
author_facet Chakrabarti, Saikat
Panchenko, Anna R
author_sort Chakrabarti, Saikat
collection PubMed
description BACKGROUND: It is extremely important and challenging to identify the sites that are responsible for functional specification or diversification in protein families. In this study, a rigorous comparative benchmarking protocol was employed to provide a reliable evaluation of methods which predict the specificity determining sites. Subsequently, three best performing methods were applied to identify new potential specificity determining sites through ensemble approach and common agreement of their prediction results. RESULTS: It was shown that the analysis of structural characteristics of predicted specificity determining sites might provide the means to validate their prediction accuracy. For example, we found that for smaller distances it holds true that the more reliable the prediction method is, the closer predicted specificity determining sites are to each other and to the ligand. CONCLUSION: We observed certain similarities of structural features between predicted and actual subsites which might point to their functional relevance. We speculate that majority of the identified potential specificity determining sites might be indirectly involved in specific interactions and could be ideal target for mutagenesis experiments.
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spelling pubmed-27163442009-07-28 Ensemble approach to predict specificity determinants: benchmarking and validation Chakrabarti, Saikat Panchenko, Anna R BMC Bioinformatics Research Article BACKGROUND: It is extremely important and challenging to identify the sites that are responsible for functional specification or diversification in protein families. In this study, a rigorous comparative benchmarking protocol was employed to provide a reliable evaluation of methods which predict the specificity determining sites. Subsequently, three best performing methods were applied to identify new potential specificity determining sites through ensemble approach and common agreement of their prediction results. RESULTS: It was shown that the analysis of structural characteristics of predicted specificity determining sites might provide the means to validate their prediction accuracy. For example, we found that for smaller distances it holds true that the more reliable the prediction method is, the closer predicted specificity determining sites are to each other and to the ligand. CONCLUSION: We observed certain similarities of structural features between predicted and actual subsites which might point to their functional relevance. We speculate that majority of the identified potential specificity determining sites might be indirectly involved in specific interactions and could be ideal target for mutagenesis experiments. BioMed Central 2009-07-02 /pmc/articles/PMC2716344/ /pubmed/19573245 http://dx.doi.org/10.1186/1471-2105-10-207 Text en Copyright © 2009 Chakrabarti and Panchenko; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chakrabarti, Saikat
Panchenko, Anna R
Ensemble approach to predict specificity determinants: benchmarking and validation
title Ensemble approach to predict specificity determinants: benchmarking and validation
title_full Ensemble approach to predict specificity determinants: benchmarking and validation
title_fullStr Ensemble approach to predict specificity determinants: benchmarking and validation
title_full_unstemmed Ensemble approach to predict specificity determinants: benchmarking and validation
title_short Ensemble approach to predict specificity determinants: benchmarking and validation
title_sort ensemble approach to predict specificity determinants: benchmarking and validation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716344/
https://www.ncbi.nlm.nih.gov/pubmed/19573245
http://dx.doi.org/10.1186/1471-2105-10-207
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