Interacting Species Database (ISDB): Comprehensive Resource for Interspecies Interactions at the Molecular Level

MOTIVATION: Organisms within ecological systems often engage in molecular interactions that mediate key biological processes, such as protein-protein interactions involved in host-pathogen recognition and symbiosis. Characterization of these interactions at a molecular level is essential for understanding the mechanistic, evolutionary, and functional basis of interspecies interactions, as well as for informing potential therapeutic interventions. However, progress in this field is significantly impeded by the lack of a comprehensive database of interacting species at molecular resolution and the limited availability of experimental data. RESULTS: We introduce the Interacting Species Database (ISDB), a comprehensive resource that catalogs interspecies interactions, annotated with NCBI taxonomic identifiers, interaction types and known molecular interactions. The ISDB encompasses 858,229 interacting species pairs and 171,713 interspecies protein-protein interactions within 261,287 organisms. ISDB is designed to support researchers in searching for, downloading, and depositing interspecies interaction data, which facilitates the study of ecological dynamics across diverse research domains. AVAILABILITY: The ISDB is available via a web interface (https://www.elhabashylab.org/isdb), open-source code on GitHub (https://github.com/ElhabashyLab/ISDB) under the MIT license and is archived on Zenodo (Version v1.0.1, DOI: 10.5281/zenodo.20162385).

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Publication Details

Journal
Bioinformatics
Published
2026-06-24
DOI
https://doi.org/10.1093/bioinformatics/btag419
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
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article

Interacting Species Database (ISDB): Comprehensive Resource for Interspecies Interactions at the Molecular Level

Anupam Gautam, Michael Mederer, Oliver Kohlbacher, Hadeer Elhabashy et al.
Bioinformatics
Bioinformatics and Genomic Networks
article

Interacting Species Database (ISDB): Comprehensive Resource for Interspecies Interactions at the Molecular Level

Anupam Gautam, Michael Mederer, Oliver Kohlbacher, Hadeer Elhabashy, Andrei Lupas
article en

Abstract

MOTIVATION: Organisms within ecological systems often engage in molecular interactions that mediate key biological processes, such as protein-protein interactions involved in host-pathogen recognition and symbiosis. Characterization of these interactions at a molecular level is essential for understanding the mechanistic, evolutionary, and functional basis of interspecies interactions, as well as for informing potential therapeutic interventions. However, progress in this field is significantly impeded by the lack of a comprehensive database of interacting species at molecular resolution and the limited availability of experimental data. RESULTS: We introduce the Interacting Species Database (ISDB), a comprehensive resource that catalogs interspecies interactions, annotated with NCBI taxonomic identifiers, interaction types and known molecular interactions. The ISDB encompasses 858,229 interacting species pairs and 171,713 interspecies protein-protein interactions within 261,287 organisms. ISDB is designed to support researchers in searching for, downloading, and depositing interspecies interaction data, which facilitates the study of ecological dynamics across diverse research domains. AVAILABILITY: The ISDB is available via a web interface (https://www.elhabashylab.org/isdb), open-source code on GitHub (https://github.com/ElhabashyLab/ISDB) under the MIT license and is archived on Zenodo (Version v1.0.1, DOI: 10.5281/zenodo.20162385).

Bioinformatics
Innsbruck Medical University (AT), Bernstein Center for Computational Neuroscience Tübingen (DE), Max Planck Institute for Biology (DE), University of Bayreuth (DE), University of Tübingen (DE)
Life in Land
Openalex Percentile: Top 10%
Bioinformatics and Genomic Networks
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Interacting Species Database (ISDB): Comprehensive Resource for Interspecies Interactions at the Molecular Level — Anupam Gautam, Michael Mederer, et al. · Bioinformatics (2026) | TGRS Research Map | TGRS