Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders

Gene expression profiles are useful for assessing the efficacy and side effects of drugs. In this paper, we propose a new generative model that infers drug molecules that could induce a desired change in gene expression. Our model—the Bidirectional Adversarial Autoencoder—explicitly separates cellul...

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Detalles Bibliográficos
Autores principales: Shayakhmetov, Rim, Kuznetsov, Maksim, Zhebrak, Alexander, Kadurin, Artur, Nikolenko, Sergey, Aliper, Alexander, Polykovskiy, Daniil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182000/
https://www.ncbi.nlm.nih.gov/pubmed/32362822
http://dx.doi.org/10.3389/fphar.2020.00269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182000/
https://www.ncbi.nlm.nih.gov/pubmed/32362822
http://dx.doi.org/10.3389/fphar.2020.00269

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