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Int. J. Mol. Sci. 2016, 17(9), 1417;

Bioinformatics Identification of Drug Resistance-Associated Gene Pairs in Mycobacterium tuberculosis

Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
Authors to whom correspondence should be addressed.
Academic Editor: Johannes Haybaeck
Received: 15 July 2016 / Revised: 16 August 2016 / Accepted: 22 August 2016 / Published: 27 August 2016
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis (Mtb). Due to the extensive use of anti-tuberculosis drugs and the development of mutations, the emergence and spread of multidrug-resistant tuberculosis is recognized as one of the most dangerous threats to global tuberculosis control. Some single mutations have been identified to be significantly linked with drug resistance. However, the prior research did not take gene-gene interactions into account, and the emergence of transmissible drug resistance is connected with multiple genetic mutations. In this study we use the bioinformatics software GBOOST (The Hong Kong University, Clear Water Bay, Kowloon, Hong Kong, China) to calculate the interactions of Single Nucleotide Polymorphism (SNP) pairs and identify gene pairs associated with drug resistance. A large part of the non-synonymous mutations in the drug target genes that were included in the screened gene pairs were confirmed by previous reports, which lent sound solid credits to the effectiveness of our method. Notably, most of the identified gene pairs containing drug targets also comprise Pro-Pro-Glu (PPE) family proteins, suggesting that PPE family proteins play important roles in the drug resistance of Mtb. Therefore, this study provides deeper insights into the mechanisms underlying anti-tuberculosis drug resistance, and the present method is useful for exploring the drug resistance mechanisms for other microorganisms. View Full-Text
Keywords: Mycobacterium tuberculosis; drug resistance; gene pair; GBOOST Mycobacterium tuberculosis; drug resistance; gene pair; GBOOST

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Cui, Z.-J.; Yang, Q.-Y.; Zhang, H.-Y.; Zhu, Q.; Zhang, Q.-Y. Bioinformatics Identification of Drug Resistance-Associated Gene Pairs in Mycobacterium tuberculosis. Int. J. Mol. Sci. 2016, 17, 1417.

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