Foundation models for low-data drug discovery: mining heterogeneous public and proprietary data in neglected indications
- DOI
- 10.1080/17460441.2026.2712551
- Published
- 2026-08-07
- Container
- Expert Opinion on Drug Discovery
- Publisher
- Informa UK Limited
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1080/17460441.2026.2712551,
title = {Foundation models for low-data drug discovery: mining heterogeneous public and proprietary data in neglected indications},
author = {Michail Papadourakis and Evangelia Efraimia Amaxopoulou and Minos-Timotheos Matsoukas},
year = {2026},
journal = {Expert Opinion on Drug Discovery},
doi = {10.1080/17460441.2026.2712551},
url = {https://doi.org/10.1080/17460441.2026.2712551}
}RIS
TY - JOUR TI - Foundation models for low-data drug discovery: mining heterogeneous public and proprietary data in neglected indications AU - Michail Papadourakis AU - Evangelia Efraimia Amaxopoulou AU - Minos-Timotheos Matsoukas PY - 2026 JO - Expert Opinion on Drug Discovery DO - 10.1080/17460441.2026.2712551 UR - https://doi.org/10.1080/17460441.2026.2712551 ER -
APA
Papadourakis, M., Amaxopoulou, E. E., & Matsoukas, M. (2026). Foundation models for low-data drug discovery: mining heterogeneous public and proprietary data in neglected indications. Expert Opinion on Drug Discovery. https://doi.org/10.1080/17460441.2026.2712551
Source records
- crossref · retrieved 2026-09-26T03:55:58.448Z