QSAR classification model for diverse series of antifungal agents based on binary coyote optimization algorithm
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Taylor & Francis Group
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/106729/ http://dx.doi.org/10.1080/1062936X.2023.2208374 |
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