source · discovered
ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction
Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: discovered
No supporting source is linked yet.
Download this releaseTechnical metadata and extraction receipts
Stable ID: proteingym-2023
- areas
- proteins-complexes
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC10723403/
- version
- PMC10723403.1
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.1101/2023.12.07.570727
- publication status
- preprint
- year
- 2023
- artifact sha256
- 4519641f13271bdd09b166e7d93232f22542489bc52a25b5a1628c3df8badce1
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC10723403/fullTextXML
- artifact retrieved at
- 2026-09-16T10:41:16.517323+00:00
- legacy paper
- id: proteingym-2023; title: ProteinGym: Large-Scale Benchmarks for Protein Design and Fitness Prediction; year: 2023; publication status: preprint; version: PMC10723403.1; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC10723403/; primary domain: proteins-complexes; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: bioRxiv; PMC ID: PMC10723403.; doi: 10.1101/2023.12.07.570727
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract