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Molecular generative model based on conditional variational autoencoder for de novo molecular design
Jaechang Lim, Seongok Ryu, Jin Woo Kim and 1 more
Journal of Cheminformatics · 2018
Abstract
Electronic supplementary material. The online version of this article (10.1186/s13321-018-0286-7) contains supplementary material, which is available to authorized users.
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- Advances in De Novo Drug Design: From Conventional to Machine Learning Methods · 2021No notice
- Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions · 2020No notice
- Constrained Bayesian optimization for automatic chemical design using variational autoencoders · 2020No notice
- A de novo molecular generation method using latent vector based generative adversarial network · 2019No notice
- Optimization of Molecules via Deep Reinforcement Learning · 2019Corrected
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