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Bioinformatics Advance Access published online on May 6, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti486
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received March 8, 2005
Revised April 13, 2005
Accepted May 3, 2005

Applications note

PMUT: a web-based tool for the anotation of pathological mutations on proteins

Carles Ferrer-Costa 1, Josep Lluis Gelpí 2*, Leire Zamakola 3, Ivan Parraga 3, Xavier de la Cruz 4, and Modesto Orozco 5

1 Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomédica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain
2 Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomédica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain; Departament de Bioquímica i Biología Molecular, Facultat de Química, Universitat de Barcelona, Martí i Franquès 1, Barcelona 08028, Spain
3 Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomédica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain; Instituto Nacional de Bioinformàtica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain
4 Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomédica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain; Institució Catalana per la Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys, 23, 08018 Barcelona, Spain
5 Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomédica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain; Departament de Bioquímica i Biología Molecular, Facultat de Química, Universitat de Barcelona, Martí i Franquès 1, Barcelona 08028, Spain; Instituto Nacional de Bioinformàtica, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028, Spain

* To whom correspondence should be addressed.
Josep Lluis Gelpí, E-mail: gelpi{at}mmb.pcb.ub.es


  Abstract

PMUT allows a fast and accurate prediction (around 80% success rate in humans) of the pathological character of single point aminoacidic mutations based on the use of neural networks. The program allows also a fast scanning of mutational hot spots which are obtained by three procedures: i) alanine scanning, ii) massive mutation and iii) genetically-accessible mutations. A graphical interface on PDB structures, when available, and a database containing hot-spot profiles for all non-redundant PDB structures is also accessible from the PMUT server.


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