Qsar classification model for diverse series of antifungal agents based on improved binary differential search algorithm

• Main Authors: Al-Fakih, A. M., Algamal, Z. Y., Lee, M. H., Aziz, M., Ali, H. T. M.
• Format: Article
• Published: Taylor and Francis Ltd. 2019
• Subjects: QD Chemistry
• Online Access: http://eprints.utm.my/id/eprint/89451/; http://dx.doi.org/10.1080/1062936X.2019.1568298
• Institution: Universiti Teknologi Malaysia

An improved binary differential search (improved BDS) algorithm is proposed for QSAR classification of diverse series of antimicrobial compounds against Candida albicans inhibitors. The transfer functions is the most important component of the BDS algorithm, and converts continuous values of the don...