Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular <i>De Novo</i> Design, Dimensionality Reduction, and <i>De Novo</i> Peptide and Protein Design

Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular <i>De Novo</i> Design, Dimensionality Reduction, and <i>De Novo</i> Peptide and Protein Design

A growing body of evidence now suggests that artificial intelligence and machine learning techniques can serve as an indispensable foundation for the process of drug design and discovery. In light of latest advancements in computing technologies, deep learning algorithms are being created during the...

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Bibliographic Details
Main Authors: Eugene Lin, Chieh-Hsin Lin, Hsien-Yuan Lane
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Molecules
Subjects:
artificial intelligence
deep learning
<i>de novo</i> peptide and protein design
dimension reduction
drug design
generative adversarial networks
Online Access:https://www.mdpi.com/1420-3049/25/14/3250

Internet

https://www.mdpi.com/1420-3049/25/14/3250

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