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Examples: badA, Toxin A, O00264, Toll-like receptor 6,

This database has collected about 2000 interactions including their experimental evidences between human proteins and secreted effector proteins corresponding to the existing ten types of bacterial secretion systems in gram-negative bacteria.

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Interaction network of human proteins and bacterial effector proteins

This figure is dynamically displayed, allowing users to customize the graphical parameters using VOSviewer control panel for further research. The interactions cover all secretion systems (T1SE-T10SE), with the majority originating from T3SE and T4SE, accounting for 1,202 and 379 interactions, respectively. The edges represent protein-protein interactions (PPIs), while the size of each node reflects the number of interactions associated with each protein.

Distribution of protein-protein interactions (PPIs)

These two bar charts respectively display the distribution of interaction pairs between effector proteins of secretion systems types 1-10 and human proteins interactions, as well as the distribution of bacterial and human proteins within each type of interaction pair.

Quick Links

Available services and their usage in InTxDB.

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Proteins are listed in a table with a reasonable filter by effector type, species and length.

Species

Proteins from different bacterial species are classified, along with interaction network.

Blast

A popular bioinformatics tool used for comparing primary biological sequence information.

HPInet

Online web server for predicting bacteria-host protein-protein interactions (PPIs).

Statistics

Distribution of data across various dimensions, such as taxonomy, subcellular localization, and more.

About

All the information about how to use InTxDB, how to cite and contact the developer and researchers.

Citation

Zhu Y, Liu L, Hu Y, Li S, Liu E, Hu Y, Zhang S, Chao H, Fang Q, Huan Y, Chen M. InTxDB: A curated database of experimentally validated interactions between Gram-negative bacterial effectors and human host proteins. Database, 2025.