Evidence map›Paper›PMID 41171288›Full record

ArticleDatabase : the journal of biological databases and curation2025

InTxDB: interaction data between gram-negative bacteria secreted effectors and host proteins.

Yanyan Zhu, Liya Liu, Yueming Hu, Sida Li, Enyan Liu, Yanshi Hu, Shilong Zhang, Haoyu Chao, Qiuyu Fang, Huan Yu and 1 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2025. 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

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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

11 authors.

Yanyan ZhuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.
Liya LiuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.
Yueming HuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.ORCID 0000-0003-2174-5987
Sida LiDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.
Enyan LiuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.
Yanshi HuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.ORCID 0000-0003-3219-3778
Shilong ZhangDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.
Haoyu ChaoDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.ORCID 0000-0002-5475-0443
Qiuyu FangDepartment of Thoracic Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou 310009, China.
Huan YuDepartment of Thoracic Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University, No. 88 Jiefang Road, Shangcheng District, Hangzhou 310009, China.
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, 866 Yuhangtang Road, Xihu District, Hangzhou 310058, China.ORCID 0000-0002-9677-1699

Funding

National Key Research and Development Program of China 2023YFE0112300National Natural Science Foundation of China 32070677National Natural Science Foundation of China 32261133526National Natural Science Foundation of China 32270709Talent Project, and Science and Technology Innovation Leader of Zhejiang Province 2022R52035
6 · The paper itself

Abstract

Gram-negative bacteria utilize specialized secretion systems to deliver effectors into the cytoplasm of eukaryotic cells, where they manipulate host cellular functions to promote infection. These interactions play a crucial role in bacterial pathogenesis and pose significant public health challenges. Understanding of the protein-protein interactions (PPIs) between effectors and host proteins is essential for deciphering infection mechanisms and developing novel therapeutic strategies. However, existing databases on pathogen-host interactions often lack comprehensive coverage of secreted effectors and their host targets, limiting their utility in studying bacterial infections. Furthermore, current resources are often incomplete, poorly annotated, and lack predictive capabilities. To address these limitations, we have developed InTxDB, a comprehensive database dedicated to interactions involving bacterial type I-X secreted effectors and their host counterparts. InTxDB currently includes 1829 experimentally validated interaction pairs from 100 bacterial species, with detailed annotations on protein sequences, functions, subcellular localizations, secretion signals, local structural and functional properties, structures, and interaction sites. By filling a critical gap in existing databases, InTxDB provides a well-curated and functionally enriched resource to advance research on bacterial pathogenesis and host-pathogen interactions.

Indexed as

Bacterial ProteinsBacterial Secretion SystemsDatabases, ProteinGram-Negative BacteriaGram-Negative Bacterial InfectionsHost-Pathogen InteractionsGenes, BacterialHumansProtein Interaction MappingProtein Interaction MapsBacterial ProteinsBacterial Secretion Systems

Identifiers

PMID41171288
PMCPMC12576788

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Registered trials

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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 OpenQuestion graph.