Evaluating generative models for structure-based drug discovery from de novo design to lead optimization.

Cao D, Fan Z, Yu J, Chen M, Jiang X, Sheng X, Wang X, Zeng C, Luo X, Teng D, Zheng M

Open source

DOI
10.1038/s41467-026-78105-8
Published
2026 Oct 1
Container
Nature communications
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41467-026-78105-8,
  title = {Evaluating generative models for structure-based drug discovery from de novo design to lead optimization.},
  author = {Cao D and Fan Z and Yu J and Chen M and Jiang X and Sheng X and Wang X and Zeng C and Luo X and Teng D and Zheng M},
  year = {2026},
  journal = {Nature communications},
  doi = {10.1038/s41467-026-78105-8},
  url = {https://doi.org/10.1038/s41467-026-78105-8}
}

RIS

TY  - JOUR
TI  - Evaluating generative models for structure-based drug discovery from de novo design to lead optimization.
AU  - Cao D
AU  - Fan Z
AU  - Yu J
AU  - Chen M
AU  - Jiang X
AU  - Sheng X
AU  - Wang X
AU  - Zeng C
AU  - Luo X
AU  - Teng D
AU  - Zheng M
PY  - 2026
JO  - Nature communications
DO  - 10.1038/s41467-026-78105-8
UR  - https://doi.org/10.1038/s41467-026-78105-8
ER  -

APA

D, C., Z, F., J, Y., M, C., X, J., X, S., X, W., C, Z., X, L., D, T., & M, Z. (2026). Evaluating generative models for structure-based drug discovery from de novo design to lead optimization.. Nature communications. https://doi.org/10.1038/s41467-026-78105-8

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