MTB-KB: A Curated Knowledgebase of Mycobacterium tuberculosis Related Studies

Abstract Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), has regained its position as the world’s leading killer among infectious diseases. Despite extensive research progress across epidemiology, diagnosis, drug development, treatment regimens, vaccines, drug resistance, virulence factors, and immune mechanisms, MTB-related knowledge remains fragmented across thousands of publications, limiting its application in research and clinical practice. To address this gap, we present MTB-KB, a literature-curated knowledgebase that systematically integrates high-impact findings from eight major sections of TB research. The current release contains 75,170 associations from 1246 publications, covering 18,439 entities standardized using authoritative databases and WHO–endorsed classifications. A central feature is the interactive knowledge graph, which links cross-section associations to reveal and visualize MTB–host interactions, treatment strategies, and vaccine development opportunities. MTB-KB also provides a user-friendly interface with browsing, advanced search, and statistical visualization. Overall, by consolidating dispersed MTB knowledge into a structured and accessible platform, MTB-KB provides a valuable resource for researchers, clinicians, and policymakers, supporting both basic and clinical TB research, enabling evidence-based TB prevention, diagnosis, and treatment, and contributing to global elimination efforts. MTB-KB is accessible at https://ngdc.cncb.ac.cn/mtbkb/.

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Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2026-10-01
DOI
https://doi.org/10.1093/gpbjnl/qzag102
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

MTB-KB: A Curated Knowledgebase of Mycobacterium tuberculosis Related Studies

Zhuojing Fan, W. Zhang, Quan Luo, Renjun Gao et al.
Genomics Proteomics & Bioinformatics
Tuberculosis Research and Epidemiology
article

MTB-KB: A Curated Knowledgebase of Mycobacterium tuberculosis Related Studies

Zhuojing Fan, W. Zhang, Quan Luo, Renjun Gao, Sijia Zhang, Haitao Niu, Adong Shen, Congfan Bu, Liya Yue, Bahetibieke Tuohetaerbaike, Cuidan Li, Fei Chen, Zhang Zhang, Rongxi Zhu, Hengyu Zhou, Jinying Han, Xiaoyuan Jiang, Hao Wen, Jingfa Xiao, Pan Li, Hairong Huang, Wenjing Sun, Jing Wang
article en

Abstract

Abstract Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), has regained its position as the world’s leading killer among infectious diseases. Despite extensive research progress across epidemiology, diagnosis, drug development, treatment regimens, vaccines, drug resistance, virulence factors, and immune mechanisms, MTB-related knowledge remains fragmented across thousands of publications, limiting its application in research and clinical practice. To address this gap, we present MTB-KB, a literature-curated knowledgebase that systematically integrates high-impact findings from eight major sections of TB research. The current release contains 75,170 associations from 1246 publications, covering 18,439 entities standardized using authoritative databases and WHO–endorsed classifications. A central feature is the interactive knowledge graph, which links cross-section associations to reveal and visualize MTB–host interactions, treatment strategies, and vaccine development opportunities. MTB-KB also provides a user-friendly interface with browsing, advanced search, and statistical visualization. Overall, by consolidating dispersed MTB knowledge into a structured and accessible platform, MTB-KB provides a valuable resource for researchers, clinicians, and policymakers, supporting both basic and clinical TB research, enabling evidence-based TB prevention, diagnosis, and treatment, and contributing to global elimination efforts. MTB-KB is accessible at https://ngdc.cncb.ac.cn/mtbkb/.

Genomics Proteomics & Bioinformatics
Shenyang Pharmaceutical University (CN), Xinjiang Medical University (CN), Jinan University (CN), Chinese Academy of Sciences (CN), Beijing Institute of Genomics (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Beijing Chest Hospital (CN), Beijing Children’s Hospital (CN), Ministry of Education (KN), University of Chinese Academy of Sciences (CN)
Good health and well-being
Openalex Percentile: Top 12%
Tuberculosis Research and Epidemiology
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