STRING-ing together protein complexes: corpus and methods for extracting physical protein interactions from the biomedical literature
We provide the corpus, code, and all results produced by the large-scale runs of our systems biomedical on literature via Zenodo https://doi.org/10.5281/zenodo.8139716, Github https://github.com/farmeh/ComplexTome_extraction, and the latest version of STRING database https://string-db.org/.
Authors
- Lars Juhl Jensen (ORCID: https://orcid.org/0000-0001-7885-715X)
- Tomoko Ohta (ORCID: https://orcid.org/0000-0002-9418-8352)
- Katerina Nastou (ORCID: https://orcid.org/0000-0003-3611-5726)
- Sampo Pyysalo (ORCID: https://orcid.org/0000-0002-6279-5000)
- Farrokh Mehryary (ORCID: https://orcid.org/0000-0002-5555-2828)
Institutions
- University of Copenhagen (DK)
- University of Turku (FI)
- Turku University of Applied Sciences (FI)
- Novo Nordisk Foundation (DK)
- Textile Research Institute (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1093/bioinformatics/btae552
- Citations
- 17
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 3.97
Funders
- European Commission
- Academy of Finland
- Novo Nordisk
- China Scholarship Council
- Novo Nordisk Fonden