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

• Authors: Carlos Polanco , Jorge Castañón-González , Raul Mancilla , Thomas Buhse , José Samaniego , Arturo Gimbel
• Languages of publication: 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.

Keywords

EN

Mycobacterium tuberculosis bacteria virulence pathway; Polarity Index Method

• Publisher: Polish Biochemical Society
• Journal: Acta Biochimica Polonica
• Year: 2015
• Volume: 62
• Issue: 2
• Pages: 191-196

Dates

published

2015

received

2014-08-21

revised

2015-02-01

accepted

2015-04-19

(unknown)

2015-05-28

Contributors

author

Carlos Polanco

• Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México

author

Jorge Castañón-González

• Unidad de Cuidados intensivos y Unidad de Investigación Biomédica. Hospital Juárez de México, C.P. 07760 D.F., México

author

Raul Mancilla

• Departamento de Inmunologia, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, C.P. 04510 D.F., México

author

Thomas Buhse

• Centro de Investigaciones Químicas, Universidad Autónoma del Estado de Morelos, C.P. 62209 Chamilpa, Cuernavaca, Morelos, México

author

José Samaniego

• 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

Arturo Gimbel

• Facultad de Ciencias de la Salud, Universidad Anahuac. C.P. 52786 Huixquilucan Estado de Mexico, México

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Identifiers

DOI

10.18388/abp.2014_874