Generative deep learning for targeted compound design

In the past few years, de novo molecular design has increasingly been using generative models from the emergent field of Deep Learning, proposing novel compounds that are likely to possess desired properties or activities. De novo molecular design finds applications in different fields ranging from...

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Bibliographic Details
Main Author: Sousa, Tiago (author)
Other Authors: Correia, João (author), Pereira, Vítor (author), Rocha, Miguel (author)
Format: article
Language:eng
Published: 2021
Subjects:
Deep learning
De novo molecular design
Architectures
Recurrent neural network
Generative adversarial network
Autoencoders
Generative model
Optimization
Generative Adversarial Networks
Recurrent Neural Networks
Science & Technology
Online Access:http://hdl.handle.net/1822/74800
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/74800

Internet

http://hdl.handle.net/1822/74800

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