Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

[Image: see text] De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time- and resource-consuming, and it has a low probability of success. Recent advances in machine learning and deep learning technology...

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Detalles Bibliográficos
Autores principales: Kao, Po-Yu, Yang, Ya-Chu, Chiang, Wei-Yin, Hsiao, Jen-Yueh, Cao, Yudong, Aliper, Alex, Ren, Feng, Aspuru-Guzik, Alán, Zhavoronkov, Alex, Hsieh, Min-Hsiu, Lin, Yen-Chu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268960/
https://www.ncbi.nlm.nih.gov/pubmed/37171372
http://dx.doi.org/10.1021/acs.jcim.3c00562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268960/
https://www.ncbi.nlm.nih.gov/pubmed/37171372
http://dx.doi.org/10.1021/acs.jcim.3c00562

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