Exploring Novel Biologically-Relevant Chemical Space Through Artificial Intelligence: The NCATS ASPIRE Program

Exploring Novel Biologically-Relevant Chemical Space Through Artificial Intelligence: The NCATS ASPIRE Program

In recent years, artificial intelligence (AI)/machine learning (ML; a subset of AI) have become increasingly important to the biomedical research community. These technologies, coupled to big data and cheminformatics, have tremendous potential to improve the design of novel therapeutics and to provi...

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Bibliographic Details
Main Authors: Katharine K. Duncan, Dobrila D. Rudnicki, Christopher P. Austin, Danilo A. Tagle
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Robotics and AI
Subjects:
artificial intelligence
machine learning
drug discovery
pharmaceutical development
biomedical research
cheminformatics
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2019.00143/full

Internet

https://www.frontiersin.org/article/10.3389/frobt.2019.00143/full

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