publication . Article . Other literature type . 2018

The rise of deep learning in drug discovery.

Hongming Chen; Ola Engkvist; Yinhai Wang; Marcus Olivecrona; Thomas Blaschke;
Open Access English
  • Published: 31 Jan 2018
Abstract
Over the past decade, deep learning has achieved remarkable success in various artificial intelligence research areas. Evolved from the previous research on artificial neural networks, this technology has shown superior performance to other machine learning algorithms in areas such as image and voice recognition, natural language processing, among others. The first wave of applications of deep learning in pharmaceutical research has emerged in recent years, and its utility has gone beyond bioactivity predictions and has shown promise in addressing diverse problems in drug discovery. Examples will be discussed covering bioactivity prediction, de novo molecular de...
Subjects
free text keywords: "Marie Sklodowska-Curie Actions", Pharmacology, Drug Discovery, Artificial intelligence, business.industry, business, Machine learning, computer.software_genre, computer, Biology, Bioinformatics, Deep learning, Artificial neural network
Related Organizations
Funded by
EC| BIGCHEM
Project
BIGCHEM
Big Data in Chemistry
  • Funder: European Commission (EC)
  • Project Code: 676434
  • Funding stream: H2020 | MSCA-ITN-EID
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue