Artificial intelligence in biological activity prediction

Artificial intelligence has become an indispensable resource in chemoinformatics. Numerous machine learning algorithms for activity prediction recently emerged, becoming an indispensable approach to mine chemical information from large compound datasets. These approaches enable the automation of com...

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Bibliographic Details
Main Author: Correia, João (author)
Other Authors: Resende, Tiago F. (author), Baptista, Delora (author), Rocha, Miguel (author)
Format: conferencePaper
Language:eng
Published: 2020
Subjects:
Machine learning
Deep learning
Biological activity prediction
Sweetness prediction
Compound featurization
Science & Technology
Online Access:https://hdl.handle.net/1822/61667
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/61667

Internet

https://hdl.handle.net/1822/61667

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