Predicting anti-SARS-CoV-2 activities of chemical compounds using machine learning models
To accelerate the discovery of novel drug candidates for Coronavirus Disease 2019 (COVID-19) therapeutics, we reported a series of machine learning (ML)-based models to accurately predict the anti-SARS-CoV-2 activities of screening compounds. We explored 6 popular ML algorithms in combination with 1...
Main Authors: | Beihong Ji, Yuhui Wu, Elena N. Thomas, Jocelyn N. Edwards, Xibing He, Junmei Wang |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Artificial Intelligence Chemistry |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2949747723000295 |
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