IBDkb: an AI-enhanced integrative knowledge base for inflammatory bowel disease research and drug discovery.

Liwen Tao, Shiqing Shi, Ruixin Zhu, Zhuo Liu, Bin Yang, Lei Liu, Wanning Chen, Qian Long, Na Jiao, Guoqing Zhang, Pingping Xu, Dingfeng Wu

Journal: Database : the journal of biological databases and curation 2026;2026():

PMID: 42429463

Abstract

IBDkb (Inflammatory Bowel Disease Knowledge Base; https://www.biosino.org/ibdkb) is a freely accessible, integrated web-based platform that systematically curates and harmonizes multi-source data related to inflammatory bowel disease (IBD). To address the fragmentation and therapeutic gaps in existing specialized resources, IBDkb establishes a unified framework featuring advanced full-text search, interactive visualizations, cross-module knowledge graphs, and AI-powered utilities for real-time literature retrieval, trend analysis, text/PDF interpretation, and domain-specific conversational assistance. The platform currently integrates 98 453 research articles, 3390 clinical trials, 200 investigational drugs, 200 606 bioactive compounds, 103 therapeutic targets, 77 experimental models, 12 pathogenesis summaries, and 15 treatment strategies. These integrated tools facilitate efficient exploration of complex associations among drugs, targets, trials, and mechanisms, thereby accelerating hypothesis generation and translational research in IBD. The platform is openly available without registration and supports data downloads. A case study on structure-aware drug comparison further demonstrates its utility in facilitating cross-disease drug repositioning hypotheses.

© The Author(s) 2026. Published by Oxford University Press.

Address: Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, 1239 Siping Road, Shanghai 200092, P. R. China.; State Key Laboratory of Genetic and Development of Complex Phenotypes, Fudan Microbiome Center, School of Life Sciences, Fudan University, 220 Handan Road, Shanghai 200438, P. R. China.; Shanghai Southgene Technology Co., Ltd, 351 Guo Shoujing Road, Shanghai 201203, China.; National Genomics Data Center& Bio-Med Big Data Center, Chinese Academy of Sciences Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, 500 Caobao Road, Shanghai 200031, P. R. China.; Department of Colorectal Surgery, Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200032, P. R. China.
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