A QSAR model for predicting antidiabetic activity of dipeptidyl peptidase-IV inhibitors by enhanced binary gravitational search algorithm

• Main Authors: Al-Fakih, A. M., Algamal, Z. Y., Lee, M. H., Aziz, M., M.Ali, H. T.
• Format: Article
• Published: Taylor & Francis Online 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/87900/; http://dx.doi.org/10.1080/1062936X.2019.1607899
• Institution: Universiti Teknologi Malaysia

Time-varying binary gravitational search algorithm (TVBGSA) is proposed for predicting antidiabetic activity of 134 dipeptidyl peptidase-IV (DPP-IV) inhibitors. To improve the performance of the binary gravitational search algorithm (BGSA) method, we propose a dynamic time-varying transfer function....