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2015 | 62 | 2 | 191-196
Article title

Identification of proteins associated with Mycobacterium tuberculosis virulence pathway by their polar profile

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EN
Abstracts
EN
With almost one third of the world population infected, tuberculosis is one of the most devastating diseases worldwide and it is a major threat to any healthcare system. With the mathematical-computational method named "Polarity Index Method", already published by this group, we identified, with high accuracy (70%), proteins related to Mycobacterium tuberculosis bacteria virulence pathway from the Tuberculist Database. The test considered the totality of proteins cataloged in the main domains: fungi, bacteria, and viruses from three databases: Antimicrobial Peptide Database (APD2), Tuberculist Database, Uniprot Database, and four antigens of Mycobacterium tuberculosis: PstS-1, 38-kDa, 19-kDa, and H37Rv ORF. The method described was calibrated with each database to achieve the same performance, showing a high percentage of coincidence in the identification of proteins associated with Mycobacterium tuberculosis bacteria virulence pathway located in the Tuberculist Database, and identifying a polar pattern regardless of the group studied. This method has already been used in the identification of diverse groups of proteins and peptides, showing that it is an effective discriminant. Its metric considers only one physico-chemical property, i.e. polarity.
Publisher

Year
Volume
62
Issue
2
Pages
191-196
Physical description
Dates
published
2015
received
2014-08-21
revised
2015-02-01
accepted
2015-04-19
(unknown)
2015-05-28
Contributors
  • Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México
  • Unidad de Cuidados intensivos y Unidad de Investigación Biomédica. Hospital Juárez de México, C.P. 07760 D.F., México
author
  • Departamento de Inmunologia, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México
author
  • Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, C.P. 62209 Chamilpa, Cuernavaca, Morelos, México
  • Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México
  • Facultad de Ciencias de la Salud, Universidad Anahuac. C.P. 52786 Huixquilucan Estado de Mexico, México
author
  • Facultad de Ciencias de la Salud, Universidad Anahuac. C.P. 52786 Huixquilucan Estado de Mexico, México
References
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-abpv62p191kz
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