Generative Model for Proposing Drug Candidates Satisfying Anticancer Properties Using a Conditional Variational Autoencoder

[Image: see text] Deep learning-based molecular generative models have successfully identified drug candidates with desired properties against biological targets of interest. However, syntactically invalid molecules generated from a deep learning-generated model hinder the model from being applied t...

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Detalles Bibliográficos
Autores principales: Joo, Sunghoon, Kim, Min Soo, Yang, Jaeho, Park, Jeahyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407547/
https://www.ncbi.nlm.nih.gov/pubmed/32775866
http://dx.doi.org/10.1021/acsomega.0c01149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407547/
https://www.ncbi.nlm.nih.gov/pubmed/32775866
http://dx.doi.org/10.1021/acsomega.0c01149

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