PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex

PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex

<b>Objective:</b> Falciparum malaria is a major global health concern, affecting more than half of the world’s population and causing over half a million deaths annually. Red cell invasion is a crucial step in the parasite’s life cycle, where the parasite invade human erythrocytes to sus...

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Bibliographic Details
Main Authors: Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Pharmaceuticals
Subjects:
apical membrane antigen 1 (AMA-1)
rhoptry neck protein 2 (RON2)
machine learning
drug discovery
malaria
Online Access:https://www.mdpi.com/1424-8247/18/6/776
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