Applications of Deep-Learning in Exploiting Large-Scale and Heterogeneous Compound Data in Industrial Pharmaceutical Research

In recent years, the development of high-throughput screening (HTS) technologies and their establishment in an industrialized environment have given scientists the possibility to test millions of molecules and profile them against a multitude of biological targets in a short period of time, generati...

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Detalles Bibliográficos
Autores principales: David, Laurianne, Arús-Pous, Josep, Karlsson, Johan, Engkvist, Ola, Bjerrum, Esben Jannik, Kogej, Thierry, Kriegl, Jan M., Beck, Bernd, Chen, Hongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848277/
https://www.ncbi.nlm.nih.gov/pubmed/31749705
http://dx.doi.org/10.3389/fphar.2019.01303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6848277/
https://www.ncbi.nlm.nih.gov/pubmed/31749705
http://dx.doi.org/10.3389/fphar.2019.01303

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