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Investigation and prediction of the severity of p53 mutants using parameters from structural calculations

A method has been developed to predict the effects of mutations in the p53 cancer suppressor gene. The new method uses novel parameters combined with previously established parameters. The most important parameter is the stability measure of the mutated structure calculated using molecular modelling...

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Detalles Bibliográficos
Autores principales: Carlsson, Jonas, Soussi, Thierry, Persson, Bengt
Formato: Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730554/
https://www.ncbi.nlm.nih.gov/pubmed/19558493
http://dx.doi.org/10.1111/j.1742-4658.2009.07124.x
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author Carlsson, Jonas
Soussi, Thierry
Persson, Bengt
author_facet Carlsson, Jonas
Soussi, Thierry
Persson, Bengt
author_sort Carlsson, Jonas
collection PubMed
description A method has been developed to predict the effects of mutations in the p53 cancer suppressor gene. The new method uses novel parameters combined with previously established parameters. The most important parameter is the stability measure of the mutated structure calculated using molecular modelling. For each mutant, a severity score is reported, which can be used for classification into deleterious and nondeleterious. Both structural features and sequence properties are taken into account. The method has a prediction accuracy of 77% on all mutants and 88% on breast cancer mutations affecting WAF1 promoter binding. When compared with earlier methods, using the same dataset, our method clearly performs better. As a result of the severity score calculated for every mutant, valuable knowledge can be gained regarding p53, a protein that is believed to be involved in over 50% of all human cancers.
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spelling pubmed-27305542009-08-27 Investigation and prediction of the severity of p53 mutants using parameters from structural calculations Carlsson, Jonas Soussi, Thierry Persson, Bengt FEBS J Original Articles A method has been developed to predict the effects of mutations in the p53 cancer suppressor gene. The new method uses novel parameters combined with previously established parameters. The most important parameter is the stability measure of the mutated structure calculated using molecular modelling. For each mutant, a severity score is reported, which can be used for classification into deleterious and nondeleterious. Both structural features and sequence properties are taken into account. The method has a prediction accuracy of 77% on all mutants and 88% on breast cancer mutations affecting WAF1 promoter binding. When compared with earlier methods, using the same dataset, our method clearly performs better. As a result of the severity score calculated for every mutant, valuable knowledge can be gained regarding p53, a protein that is believed to be involved in over 50% of all human cancers. Blackwell Publishing Ltd 2009-08 /pmc/articles/PMC2730554/ /pubmed/19558493 http://dx.doi.org/10.1111/j.1742-4658.2009.07124.x Text en Journal compilation © 2009 Federation of European Biochemical Societies http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Articles
Carlsson, Jonas
Soussi, Thierry
Persson, Bengt
Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title_full Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title_fullStr Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title_full_unstemmed Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title_short Investigation and prediction of the severity of p53 mutants using parameters from structural calculations
title_sort investigation and prediction of the severity of p53 mutants using parameters from structural calculations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730554/
https://www.ncbi.nlm.nih.gov/pubmed/19558493
http://dx.doi.org/10.1111/j.1742-4658.2009.07124.x
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