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Peer-reviewedLicence not statedScience Advances

GenAI-Net: A generative AI framework for automated biomolecular network design

  • Maurice Filo1
  • Nicolò Rossi1
  • Zhou Fang2
  • Mustafa Khammash1
  1. 1Department of Biosystems Science and Engineering, ETH Zürich, 4056 Basel, Switzerland.
  2. 2State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
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Cite

BibTeXRIS
BibTeX
@article{filo2026genainet,
  title = {{GenAI-Net: A generative AI framework for automated biomolecular network design}},
  author = {Maurice Filo and Nicolò Rossi and Zhou Fang and Mustafa Khammash},
  journal = {Science Advances},
  year = {2026},
  month = oct,
  doi = {10.1126/sciadv.aeh8819},
  url = {https://www.science.org/doi/10.1126/sciadv.aeh8819},
}
RIS
TY  - JOUR
TI  - GenAI-Net: A generative AI framework for automated biomolecular network design
AU  - Maurice Filo
AU  - Nicolò Rossi
AU  - Zhou Fang
AU  - Mustafa Khammash
PY  - 2026
DA  - 2026/10/02
JO  - Science Advances
DO  - 10.1126/sciadv.aeh8819
UR  - https://www.science.org/doi/10.1126/sciadv.aeh8819
SN  - 2375-2548
ER  -