A review of recent advances in generative artificial intelligence models for biomolecular sciences.
- DOI
- 10.1016/j.apsb.2025.12.012
- Published
- 2026 Mar
- Container
- Acta pharmaceutica Sinica. B
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.apsb.2025.12.012,
title = {A review of recent advances in generative artificial intelligence models for biomolecular sciences.},
author = {Jiang J and Li D and Wang G and Hayes N and Shi Y and Qiu H and Zhang B and Zhou T and Wei GW},
year = {2026},
journal = {Acta pharmaceutica Sinica. B},
doi = {10.1016/j.apsb.2025.12.012},
url = {https://doi.org/10.1016/j.apsb.2025.12.012}
}RIS
TY - JOUR TI - A review of recent advances in generative artificial intelligence models for biomolecular sciences. AU - Jiang J AU - Li D AU - Wang G AU - Hayes N AU - Shi Y AU - Qiu H AU - Zhang B AU - Zhou T AU - Wei GW PY - 2026 JO - Acta pharmaceutica Sinica. B DO - 10.1016/j.apsb.2025.12.012 UR - https://doi.org/10.1016/j.apsb.2025.12.012 ER -
APA
J, J., D, L., G, W., N, H., Y, S., H, Q., B, Z., T, Z., & GW, W. (2026). A review of recent advances in generative artificial intelligence models for biomolecular sciences.. Acta pharmaceutica Sinica. B. https://doi.org/10.1016/j.apsb.2025.12.012
Source records
- pubmed · retrieved 2026-09-26T18:35:53.548Z