Demo Data from EDBT 2026 / reviewers in the wild / expert
Hadeer Elhabashy
dblp:425/2912
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-4677-7064ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
cross-linking mass spectrometry |
0.8 | 1 | 2024 | CLAUDIO: automated structural analysis of cross-linking data · Bioinform. 2024 |
Bioinformatics and computational biology
structural biology |
0.8 | 1 | 2024 | CLAUDIO: automated structural analysis of cross-linking data · Bioinform. 2024 |
Bioinformatics and computational biology › immunoinformatics
host-pathogen interaction |
0.3 | 1 | 2026 | Interacting Species Database (ISDB): comprehensive resource for interspecies interactions at the molecular level · Bioinform. 2026 |
Bioinformatics and computational biology › protein analysis
protein-protein interaction |
0.2 | 1 | 2024 | CLAUDIO: automated structural analysis of cross-linking data · Bioinform. 2024 |
Bioinformatics and computational biology › structural bioinformatics
protein structure |
0.2 | 1 | 2024 | CLAUDIO: automated structural analysis of cross-linking data · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
database curation · 1.0structural mapping · 0.8distance geometry · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Interacting Species Database (ISDB): comprehensive resource for interspecies interactions at the molecular levelabstractMOTIVATION: 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 AND IMPLEMENTATION: 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). Michael Mederer, Anupam Gautam, Oliver Kohlbacher, Andrei N. Lupas, Hadeer Elhabashy |
Bioinform. | 5 |
| 2024 | CLAUDIO: automated structural analysis of cross-linking dataabstractMOTIVATION: Cross-linking mass spectrometry has made remarkable advancements in the high-throughput characterization of protein structures and interactions. The resulting pairs of cross-linked peptides typically require geometric assessment and validation, given the availability of their corresponding structures. RESULTS: CLAUDIO (Cross-linking Analysis Using Distances and Overlaps) is an open-source software tool designed for the automated analysis and validation of different varieties of large-scale cross-linking experiments. Many of the otherwise manual processes for structural validation (i.e. structure retrieval and mapping) are performed fully automatically to simplify and accelerate the data interpretation process. In addition, CLAUDIO has the ability to remap intra-protein links as inter-protein links and discover evidence for homo-multimers. AVAILABILITY AND IMPLEMENTATION: CLAUDIO is available as open-source software under the MIT license at https://github.com/KohlbacherLab/CLAUDIO. Alexander Röhl, Eugen Netz, Oliver Kohlbacher, Hadeer Elhabashy |
Bioinform. | 4 |