Difference between revisions of "Generative Tensorial Reinforcement Learning (GENTRL)"
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* [[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] | ||
| − | ** [ | + | ** [http://github.com/insilicomedicine/gentrl GENTRL | GitHub] |
| + | ** [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]] | ||
A deep generative model, generative tensorial reinforcement learning (GENTRL) | A deep generative model, generative tensorial reinforcement learning (GENTRL) | ||
| − | + | <youtube>-_pHs2PLq1o</youtube> | |
| + | <youtube>vFo_4j_cZYQ</youtube> | ||
| + | <youtube>JaBO1pISZn8</youtube> | ||
| + | <youtube>Hs5BqV_a32g</youtube> | ||
| + | <youtube>cK6wNyIk15k</youtube> | ||
| − | + | http://github.com/insilicomedicine/GENTRL/raw/master/images/gentrl.png | |
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Revision as of 19:24, 9 September 2019
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- 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
- Pharmaceuticals
A deep generative model, generative tensorial reinforcement learning (GENTRL)
