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Peer-reviewedPublisher termsScience Advances

A Full-Spectrum Generative Lead Discovery (FSGLD) pipeline via DRUG-GAN: A multiscale method for drug-like/target-specific compound library generation

  • Beihong Ji1,2
  • Matthew Brock1
  • Yuhui Wu1
  • Yuemin Bian3
  • Xibing He1
  • Yue Liu1
  • Yixuan Hao1
  • Haocheng Tang1
  • Junmei Wang1
  1. 1Department of Pharmaceutical Sciences and Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  2. 2Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, 310018 Zhejiang, China.
  3. 3School of Medicine, Shanghai University, 200444 Shanghai, China.
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Cite

BibTeXRIS
BibTeX
@article{ji2026fullspectrum,
  title = {{A Full-Spectrum Generative Lead Discovery (FSGLD) pipeline via DRUG-GAN: A multiscale method for drug-like/target-specific compound library generation}},
  author = {Beihong Ji and Matthew Brock and Yuhui Wu and Yuemin Bian and Xibing He and Yue Liu and Yixuan Hao and Haocheng Tang and Junmei Wang},
  journal = {Science Advances},
  year = {2026},
  month = oct,
  doi = {10.1126/sciadv.aei5257},
  url = {https://www.science.org/doi/abs/10.1126/sciadv.aei5257},
}
RIS
TY  - JOUR
TI  - A Full-Spectrum Generative Lead Discovery (FSGLD) pipeline via DRUG-GAN: A multiscale method for drug-like/target-specific compound library generation
AU  - Beihong Ji
AU  - Matthew Brock
AU  - Yuhui Wu
AU  - Yuemin Bian
AU  - Xibing He
AU  - Yue Liu
AU  - Yixuan Hao
AU  - Haocheng Tang
AU  - Junmei Wang
PY  - 2026
DA  - 2026/10/28
JO  - Science Advances
DO  - 10.1126/sciadv.aei5257
UR  - https://www.science.org/doi/abs/10.1126/sciadv.aei5257
SN  - 2375-2548
ER  -