TopMT-GAN: A 3D topology-driven generative model for efficient and diverse structure-based ligand design. Wang, S., Lin, T., Peng, T., Xing, E., Chen, S., Kara, L. B., & Cheng, X. Chemical Science, Royal Society of Chemistry (RSC), Jan, 2025.
TopMT-GAN: A 3D topology-driven generative model for efficient and diverse structure-based ligand design [link]Paper  doi  bibtex   
@article{tong2025topmtgan,
author={Wang, Shen and Lin, Tong and Peng, Tianyi and Xing, Enming and Chen, Sijie and Kara, Levent Burak and Cheng, Xiaolin},
title={TopMT-GAN: A 3D topology-driven generative model for efficient and diverse structure-based ligand design},
journal={Chemical Science},
year={2025},
month={Jan},
publisher={Royal Society of Chemistry (RSC)},
doi={10.1039/D4SC05211K},
url={https://pubs.rsc.org/en/Content/ArticleLanding/2025/SC/D4SC05211K}
}

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