DESIGN: a framework for generative AI-enabled crop molecular design-driven breeding

Feng Xu, Ran Fu, Qian Cheng, Shuqin Jiang, Jun Yan, Xiangfeng Wang

Open source

DOI: 10.1007/s11427-025-3406-3
Published: 2026-10-12
Container: Science China Life Sciences
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s11427-025-3406-3,
  title = {DESIGN: a framework for generative AI-enabled crop molecular design-driven breeding},
  author = {Feng Xu and Ran Fu and Qian Cheng and Shuqin Jiang and Jun Yan and Xiangfeng Wang},
  year = {2026},
  journal = {Science China Life Sciences},
  doi = {10.1007/s11427-025-3406-3},
  url = {https://doi.org/10.1007/s11427-025-3406-3}
}

RIS

TY  - JOUR
TI  - DESIGN: a framework for generative AI-enabled crop molecular design-driven breeding
AU  - Feng Xu
AU  - Ran Fu
AU  - Qian Cheng
AU  - Shuqin Jiang
AU  - Jun Yan
AU  - Xiangfeng Wang
PY  - 2026
JO  - Science China Life Sciences
DO  - 10.1007/s11427-025-3406-3
UR  - https://doi.org/10.1007/s11427-025-3406-3
ER  -

APA

Xu, F., Fu, R., Cheng, Q., Jiang, S., Yan, J., & Wang, X. (2026). DESIGN: a framework for generative AI-enabled crop molecular design-driven breeding. Science China Life Sciences. https://doi.org/10.1007/s11427-025-3406-3

Source records

crossref · retrieved 2026-11-10T11:15:56.035Z