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Database (Oxford). 2019 Jan 1;2019. pii: baz074. doi: 10.1093/database/baz074.

MycoResistance: a curated resource of drug resistance molecules in Mycobacteria.

Dai E1, Zhang H1,2,3,4,5, Zhou X6, Song Q6, Li D1,2,3,4,5, Luo L1,2,3,4,5, Xu X1,2,3,4,5, Jiang W6, Ling H1,2,3,4,5.

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Department of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Wu Lien-Teh Institute, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Department of Parasitology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Heilongjiang Provincial Key Laboratory of Infection and Immunity, Xuefu Road, Nangang District, Harbin, China.
Key Laboratory of Pathogen Biology, 194 Xuefu Road, Nangang District, Harbin, P. R. China.
Department of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing, P.R. China.


The emergence and spread of drug-resistant Mycobacterium tuberculosis is of global concern. To improve the understanding of drug resistance in Mycobacteria, numerous studies have been performed to discover diagnostic markers and genetic determinants associated with resistance to anti-tuberculosis drug. However, the related information is scattered in a massive body of literature, which is inconvenient for researchers to investigate the molecular mechanism of drug resistance. Therefore, we manually collected 1707 curated associations between 73 compounds and 132 molecules (including coding genes and non-coding RNAs) in 6 mycobacterial species from 465 studies. The experimental details of molecular epidemiology and mechanism exploration research were also summarized and recorded in our work. In addition, multidrug resistance and extensively drug resistance molecules were also extracted to interpret the molecular mechanisms that are responsible for cross resistance among anti-tuberculosis drugs. Finally, we constructed an omnibus repository named MycoResistance, a user friendly interface to conveniently browse, search and download all related entries. We hope that this elaborate database will serve as a beneficial resource for mechanism explanations, precise diagnosis and effective treatment of drug-resistant mycobacterial strains.

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