A review on machine learning approaches and trends in drug discovery

Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science with the skyrocketing of machine learning techniques due to its democratization. With...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J. Novoa, Adrian Carballal, Victor Maojo, Alejandro Pazos, Carlos Fernandez-Lozano
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	American Association for the Advancement of Science (AAAS) 2021-01-01
Edice:	Computational and Structural Biotechnology Journal
Témata:	Machine Learning Drug Discovery Cheminformatics QSAR Molecular Descriptors Deep Learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2001037021003421
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!