Evidence map›Paper›PMID 42429463›Full record

ArticleDatabase : the journal of biological databases and curation2026

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 and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Liwen TaoShanghai 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.
Shiqing ShiShanghai 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.
Ruixin ZhuShanghai 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.
Zhuo LiuState 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.
Bin YangShanghai Southgene Technology Co., Ltd, 351 Guo Shoujing Road, Shanghai 201203, China.
Lei LiuShanghai 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.
Wanning ChenShanghai 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.
Qian LongShanghai 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.
Na JiaoState 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.
Guoqing ZhangNational 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.ORCID 0000-0001-8827-7546
Pingping XuDepartment of Colorectal Surgery, Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200032, P. R. China.
Dingfeng WuShanghai 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.ORCID 0000-0002-9287-122X

Funding

China Association for Science and Technology 156-O-180-0000732-6China Postdoctoral Science Foundation 2025M772680National Natural Science Foundation of China 32200529National Natural Science Foundation of China 32470098National Natural Science Foundation of China 32570768National Natural Science Foundation of China 82170542National Natural Science Foundation of China 82304351Tongji University
6 · The paper itself

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.

Indexed as

Artificial IntelligenceDatabases, FactualDrug DiscoveryInflammatory Bowel DiseasesKnowledge BasesBiocurationHumans

Identifiers

PMID42429463
PMCPMC13352432

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.