Difference between revisions of "Generative Tensorial Reinforcement Learning (GENTRL)"
| Line 12: | Line 12: | ||
* [[Clustering]] | * [[Clustering]] | ||
* [[Variational Autoencoder (VAE)]] | * [[Variational Autoencoder (VAE)]] | ||
| − | * [http://www.nature.com/articles/s41587-019-0224-x#MOESM3 Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A. Zhavoronkov, Y. Ivanenkov, A. Aliper, M. Veselov, V. Aladinskiy, A. Aladinskaya, V. Terentiev, D. Polykovskiy, M. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. Shayakhmetov, A. Zhebrak, L. Minaeva, B. Zagribelnyy, L. Lee, R. Soll, D. Madge, L. Xing, T. Guo & A. Aspuru-Guzik] | + | * [http://www.nature.com/articles/s41587-019-0224-x#MOESM3 Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A. Zhavoronkov, Y. Ivanenkov, A. Aliper, M. Veselov, V. Aladinskiy, A. Aladinskaya, V. Terentiev, D. Polykovskiy, M. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. Shayakhmetov, A. Zhebrak, L. Minaeva, B. Zagribelnyy, L. Lee, R. Soll, D. Madge, L. Xing, T. Guo & A. Aspuru-Guzik - Nature Biotechnology] |
** [http://github.com/insilicomedicine/gentrl GENTRL | GitHub] | ** [http://github.com/insilicomedicine/gentrl GENTRL | GitHub] | ||
| + | ** [http://www.nature.com/articles/s41587-019-0224-x#MOESM1 Supplementary Code] | ||
** [http://www.cxotalk.com/episode/ai-medicine-life-sciences-drug-discovery AI in Medicine: Life Sciences and Drug Discovery - Transcript | Alex Zhavoronkov & Michael Krigsman] | ** [http://www.cxotalk.com/episode/ai-medicine-life-sciences-drug-discovery AI in Medicine: Life Sciences and Drug Discovery - Transcript | Alex Zhavoronkov & Michael Krigsman] | ||
* [[Pharmaceuticals]] | * [[Pharmaceuticals]] | ||
Revision as of 19:29, 9 September 2019
YouTube search... ...Google search
- Neural Network Zoo | Fjodor Van Veen
- Autoencoder (AE) / Encoder-Decoder
- Clustering
- Variational Autoencoder (VAE)
- Deep learning enables rapid identification of potent DDR1 kinase inhibitors | A. Zhavoronkov, Y. Ivanenkov, A. Aliper, M. Veselov, V. Aladinskiy, A. Aladinskaya, V. Terentiev, D. Polykovskiy, M. Kuznetsov, A. Asadulaev, Y. Volkov, A. Zholus, R. Shayakhmetov, A. Zhebrak, L. Minaeva, B. Zagribelnyy, L. Lee, R. Soll, D. Madge, L. Xing, T. Guo & A. Aspuru-Guzik - Nature Biotechnology
- Pharmaceuticals
A deep generative model, generative tensorial reinforcement learning (GENTRL)
