Antimalarial Drug Predictions Using Molecular Descriptors and Machine Learning against Plasmodium Falciparum

Antimalarial Drug Predictions Using Molecular Descriptors and Machine Learning against Plasmodium Falciparum

Malaria remains by far one of the most threatening and dangerous illnesses caused by the plasmodium falciparum parasite. Chloroquine (CQ) and first-line artemisinin-based combination treatment (ACT) have long been the drug of choice for the treatment and controlling of malaria; however, the emergenc...

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Bibliographic Details
Main Authors: Medard Edmund Mswahili, Gati Lother Martin, Jiyoung Woo, Guang J. Choi, Young-Seob Jeong
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Biomolecules
Subjects:
antimalarial drug
machine learning
plasmodium falciparum
molecular descriptor
drug discovery
feature selection
Online Access:https://www.mdpi.com/2218-273X/11/12/1750

Internet

https://www.mdpi.com/2218-273X/11/12/1750

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