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2014 | 61 | 4 | 693-698
Article title

Possible computational filter to detect proteins associated to influenza A subtype H1N1

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Abstracts
EN
The design of drugs with bioinformatics methods to identify proteins and peptides with a specific toxic action is increasingly recurrent. Here, we identify toxic proteins towards the influenza A virus subtype H1N1 located at the UniProt database. Our quantitative structure-activity relationship (QSAR) approach is based on the analysis of the linear peptide sequence with the so-called Polarity Index Method that shows an efficiency of 90% for proteins from the Uniprot Database. This method was exhaustively verified with the APD2, CPPsite, Uniprot, and AmyPDB databases as well as with the set of antibacterial peptides studied by del Rio et al. and Oldfield et al.
Publisher

Year
Volume
61
Issue
4
Pages
693-698
Physical description
Dates
published
2014
received
2013-05-21
revised
2014-04-04
accepted
2014-06-12
(unknown)
2014-11-07
Contributors
  • Facultad de Ciencias de la Salud, Universidad Anáhuac, Col. Lomas Anáhuac, Huixquilucan Estado de México, México
author
  • Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, Cuernavaca Morelos, México
  • Facultad de Ciencias de la Salud, Universidad Anáhuac, Col. Lomas Anáhuac, Huixquilucan Estado de México, México
  • Facultad de Ciencias de la Salud, Universidad Anáhuac, Col. Lomas Anáhuac, Huixquilucan Estado de México, México
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-abpv61p693kz
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