QSAR classification model for diverse series of antifungal agents based on binary coyote optimization algorithm

• Main Authors: Mohammed Al-Fakih, Abdo, Khalid Qasim, Maimoonah, Algamal, Zakariya Y., Alharthi, Aiedh Mrisi, Zainal Abidin, Mohamad Hamdi
• Format: Article
• Published: Taylor & Francis Group 2023
• Subjects: QD Chemistry
• Online Access: http://eprints.utm.my/106729/; http://dx.doi.org/10.1080/1062936X.2023.2208374

One of the recently developed metaheuristic algorithms, the coyote optimization algorithm (COA), has shown to perform better in a number of difficult optimization tasks. The binary form, BCOA, is used in this study as a solution to the descriptor selection issue in classifying diverse antifungal ser...