In Silico identification of M. TB proteins with diagnostic potential

BMC Immunology

Proceedings

Humberto Carrillo¹  Jesús Bouza²  Armando Acosta²  Yamilé López²  Romel Calero²  Mayelin Mirabal²  María V Guzmán²  Maria E Sarmiento²  Mohd Nor Norazmi³ 

[1] Faculty of Sciences and Center for Complexity Sciences, National Autonomous University of Mexico, Mexico City, Mexico;Finlay Institute, Havana, Cuba;School of Health Sciences, Universiti Sains Malaysia, Malaysia;Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Malaysia;

关键词: Population Coverage;    Mycobacterium Bovis;    Significant Alignment;    Environmental Mycobacterium;    Local Sequence Alignment;   

DOI  :  10.1186/1471-2172-14-S1-S9

来源: Springer

【 摘 要 】

TB, caused by Mycobacterium tuberculosis (MTB), is one of the major global infectious diseases. For the pandemic control, early diagnosis with sensitive and specific methods is fundamental. With the advent of bioinformatics’ tools, the identification of several proteins involved in the pathogenesis of TB (TB) has been possible. In the present work, the MTB genome was explored to look for molecules with possible antigenic properties for their evaluation as part of new generation diagnostic kits based on the release of cytokines. Seven proteins from the MTB proteome and some of their combinations suited the computational test and the results suggested their potential use for the diagnosis of infection in the following population groups: Cuba, Mexico, Malaysia and sub-Saharan Africa. Our predictions were performed using public bioinformatics tools plus three computer programs, developed by our group, to facilitate information retrieval and processing.

【 授权许可】

CC BY   
© Calero et al; licensee BioMed Central Ltd. 2013