Cargando…
PharmaNet: Pharmaceutical discovery with deep recurrent neural networks
The discovery and development of novel pharmaceuticals is an area of active research mainly due to the large investments required and long payback times. As of 2016, the development of a novel drug candidate required up to $ USD 2.6 billion in investment for only 10% rate of approval by the FDA. To...
Autores principales: | Ruiz Puentes, Paola, Valderrama, Natalia, González, Cristina, Daza, Laura, Muñoz-Camargo, Carolina, Cruz, Juan C., Arbeláez, Pablo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075191/ https://www.ncbi.nlm.nih.gov/pubmed/33901196 http://dx.doi.org/10.1371/journal.pone.0241728 |
Ejemplares similares
-
Predicting target–ligand interactions with graph convolutional networks for interpretable pharmaceutical discovery
por: Ruiz Puentes, Paola, et al.
Publicado: (2022) -
Rational Discovery of Antimicrobial Peptides by Means of Artificial Intelligence
por: Ruiz Puentes, Paola, et al.
Publicado: (2022) -
Pharma-Ecology – The Occurrence and Fate of Pharmaceuticals and Personal Care Products in the Environment
por: Halden, Rolf U.
Publicado: (2009) -
The Image of Pharma
Publicado: (2007) -
Pharma-Ecology
por: Jjemba, Patrick
Publicado: (2018)