New searchable knowledgebase brings tuberculosis research together

Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), has returned to the top of the list of infectious disease killers worldwide. Despite decades of intense study across areas like epidemiology, diagnosis and drug development, the findings are scattered across thousands of papers, making it hard for scientists, clinicians and policy makers to find and use the best evidence quickly. To address this fragmentation, Fei Chen and collaborators created MTB-KB, a literature-curated knowledgebase that gathers and organizes important MTB-related results in one place. The current release brings together 75,170 associations extracted from 1,246 publications and standardizes 18,439 entities using authoritative databases and WHO-endorsed classifications. MTB-KB covers eight major sections of TB research — epidemiology, diagnosis, drug development, treatment regimens, vaccines, drug resistance, virulence factors, and immune mechanisms — and presents the information through an interactive knowledge graph. The platform is designed to be user-friendly, offering browsing, advanced search functions and statistical visualization so users can move from a high-level overview to detailed evidence quickly. The resource is publicly accessible at https://ngdc.cncb.ac.cn/mtbkb/.

MTB-KB is built as a systematically curated collection that integrates high-impact findings across the stated research areas. The team reviewed literature and organized results into eight major sections of TB research: epidemiology, diagnosis, drug development, treatment regimens, vaccines, drug resistance, virulence factors, and immune mechanisms. The release documents 75,170 associations drawn from 1,246 publications and maps 18,439 entities to standard identifiers using authoritative databases and WHO-endorsed classifications, ensuring consistency across studies. A central technical feature is an interactive knowledge graph that links associations across sections, enabling users to trace relationships and to infer MTB–host interactions, treatment strategies and vaccine development opportunities from connected evidence. The MTB-KB interface supports browsing by topic, advanced search to locate specific associations, and statistical visualization to summarize trends in the curated literature. By consolidating dispersed results into a structured, searchable platform named MTB-KB, the project turns scattered findings into a navigable resource intended for researchers, clinicians and policymakers.

The significance of MTB-KB lies in turning a vast, fragmented literature into an organized, accessible tool that can speed research and decision making. By cataloguing tens of thousands of associations and standardizing nearly twenty thousand entities, the knowledgebase reduces the time needed to find relevant evidence and helps users compare results across studies and topics. For basic scientists, the interactive knowledge graph can reveal connections between host responses, virulence factors and potential drug or vaccine targets; for clinicians, the consolidated evidence can support more informed choices about diagnosis and treatment approaches; and for policymakers, the WHO-aligned classifications and curated associations provide a clearer evidence base for public health strategies. Because the platform is literature-curated and openly available at the provided web address, MTB-KB also creates a shared reference point that can foster collaboration, highlight gaps in knowledge and guide future research priorities aimed at reducing TB’s global burden.