Skip to content
DraconiticResearch
Search Sources API
194,220 studies31 sourcesUpdated 20 min ago
PreprintAll rights reservedbioRxiv

Decision benchmarking reveals when protein foundation models add experimental value

  1. 1University of Sydney

Related

  1. Benchmarking single-cell foundation models reveals an advantage in the low-data regime for cell-type and disease-state prediction
    H. Benhayon, M. M. Danziger, D. Ben-Zvi +1
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  2. Harmonised benchmarking of foundation models for single-cell and spatial transcriptomics reveals context-dependent generalisation
    Sally Chen, Roxana Zahedi, Lucy Chhuo +12
    arXivPreprintCC BY-SA 4.0Full text1 citedCell biologyGenetics & genomicsarXiv
  3. Leakage-controlled benchmarking reveals generalization limits of deep learning for protein-ligand binding affinity prediction
    L. Wang, J. Cheng
    bioRxivPreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
  4. FLAb2: Benchmarking reveals that protein AI models cannot yet consistently predict developability properties
    Michael Chungyoun, J. Robert Gray
    PatternsPeer-reviewedCC BY17 citedImmunologyMedical imaging & radiologyOpenAlex
  5. Benchmarking single-cell foundation models for aging biology
    X. Ni, Y. Liang, J. Zhu +8
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
BibTeX
@misc{ding2026decision,
  title = {{Decision benchmarking reveals when protein foundation models add experimental value}},
  author = {W. Ding and C. Lu and Y. Li and H. Gong and Z. Wang},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.13.758966},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.13.758966v1},
}
RIS
TY  - UNPB
TI  - Decision benchmarking reveals when protein foundation models add experimental value
AU  - W. Ding
AU  - C. Lu
AU  - Y. Li
AU  - H. Gong
AU  - Z. Wang
PY  - 2026
DA  - 2026/10/13
PB  - bioRxiv
DO  - 10.64898/2026.10.13.758966
UR  - https://www.biorxiv.org/content/10.64898/2026.10.13.758966v1
ER  -