Data sources
BioBTree integrates 80+ primary biomedical databases listed below. Each row shows the source and its citing paper.
Acknowledgments
BioBTree rests on the sustained work of the curators, researchers, and engineers behind the databases listed below. Their long-term commitment to open, structured, citable biomedical data is what makes BioBTree possible.
Data freshness
BioBTree's pipeline processes the full federation efficiently, so it is refreshed against the latest snapshot at least monthly.
Additional per-source statistics will be added here in the future.
Datasets 80+
| Source | Reference |
|---|---|
| Alliance Disease | Alliance of Genome Resources Consortium, Genetics 2024 |
| AlphaFold | Varadi et al., NAR 2022 |
| AlphaMissense | Cheng et al., Science 2023 |
| Antibody db | TheraSAbDab + SAbDab + IMGT (Raybould 2020; Dunbar 2014; Giudicelli 2005) |
| BAO | Abeyruwan et al., 2014 |
| Bgee | Bastian et al., NAR 2021 |
| BindingDB | Liu et al., NAR 2025 |
| BioGRID | Oughtred et al., 2019 |
| BRENDA | Hauenstein et al., NAR 2026 |
| Cellosaurus | Bairoch, J Biomol Tech 2018 |
| CellPhoneDB | Troule et al., 2025 |
| ChEBI | Degtyarenko et al., NAR 2008 |
| chembl_document | Zdrazil et al., NAR 2024 |
| CIViC | Griffith et al., Nat Genet 2017 |
| CL | Diehl et al., 2016 |
| ClinGen Gene-Disease Validity | Rehm et al., NEJM 2015 |
| Clinical Trials | Zarin et al., 2011 |
| ClinVar | Landrum et al., NAR 2014 |
| CollecTRI | Müller-Dott et al., 2023 |
| CORUM | Tsitsiridis et al., NAR 2023 |
| CTD | Davis et al., 2025 |
| CZ CELLxGENE | CZI Cell Science Program, 2025 |
| dbSNP | Sherry et al., NAR 2001 |
| DepMap | Tsherniak et al., Cell 2017 |
| DIAMOND Protein Similarity | Buchfink et al., 2021 |
| DOID | Schriml et al., NAR 2022 |
| DrugCentral | Avram et al., NAR 2023 |
| ECO | Nadendla et al., NAR 2022 |
| EFO | Malone et al., 2010 |
| ENCODE cCRE | Moore et al., Nature 2020 |
| Ensembl | Dyer et al., NAR 2025 |
| ESM2 Protein Similarity | Lin et al., Science 2023 |
| FAERS | Kass-Hout et al., JAMIA 2016 (openFDA) |
| FANTOM5 Promoter | Nobusada et al., 2025 |
| GenCC | DiStefano et al., 2022 |
| GeneRIF | Brown et al., NAR 2015 |
| gnomAD Constraint | Karczewski et al., Nature 2020 |
| GO | Ashburner et al., Nat Genet 2000 |
| GtoPdb | Harding et al., NAR (IUPHAR/BPS) |
| GWAS Study | Sollis et al., NAR 2023 |
| HGNC | Seal et al., NAR 2023 |
| hmdb | Wishart et al., NAR 2022 |
| HPO | Gargano et al., NAR 2024 |
| Human Protein Atlas | Uhlén et al., Science 2015 |
| IntAct | del Toro et al., 2022 |
| Interpro | Blum et al., NAR 2025 |
| intOGen | Martínez-Jiménez et al., Nat Rev Cancer 2020 |
| JASPAR | Rauluseviciute et al., NAR 2024 |
| LIPID MAPS | Sud et al., NAR 2007 |
| literature_mappings | NCBI PMC PMID/PMCID/DOI mapping (NCBI/NLM) |
| MeSH | Lipscomb, 2000 |
| miRDB | Chen & Wang, NAR 2020 |
| MONDO | Vasilevsky et al., 2025 |
| MSigDB | Liberzon et al., 2015 |
| NCBI/Entrez Gene | Maglott et al., NAR 2011 |
| ncRNA Disease | Bao et al., NAR 2019 (LncRNADisease 2.0) |
| ncRNA Drug | Cao et al., NAR 2024 (ncRNADrug) |
| ncRNA Interaction | Zheng et al., NAR 2023 (NPInter v5.0) |
| OBA | Stefancsik et al., Database (Oxford) 2023 |
| OBI | Bandrowski et al., PLoS ONE 2016 |
| Orphanet | Rath et al., 2012 |
| PanelApp | Martin et al., Nat Genet 2019 |
| Patent | Papadatos et al., NAR 2016 |
| PATO | Gkoutos et al., Brief Bioinform 2018 |
| PharmGKB | Gong et al., 2021 |
| Protein Data Bank | Armstrong et al., NAR 2020 |
| PubChem BioActivity | Kim et al., NAR 2025 |
| Reactome | Milacic et al., NAR 2024 |
| RefSeq | O’Leary et al., NAR 2016 |
| Rhea | Bansal et al., 2022 |
| RNAcentral | RNAcentral Consortium, NAR 2026 |
| SC Expression Atlas | Papatheodorou et al., NAR 2020 |
| SIGNOR | Lo Surdo et al., 2026 |
| SpliceAI | Jaganathan et al., Cell 2019 |
| STRING | Szklarczyk et al., NAR 2023 |
| SwissLipids | Aimo et al., 2015 |
| Taxonomy | Federhen, NAR 2012 |
| UBERON | Mungall et al., 2012 |
| Uniprot | UniProt Consortium, NAR 2025 |
| uPheno | Matentzoglu et al., Genetics 2025 |
| XCO | Smith et al., RGD / Mamm Genome |