Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Fusidic Acid Derivatives as Anti-Malarial Agent-Reference-Cited by-同舟云学术

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Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Fusidic Acid Derivatives as Anti-Malarial Agent

Published:2020-12-14 Issue: Volume: Page:
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Container-title:2020 6th International Conference on Interactive Digital Media (ICIDM)
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Author:

Rahman Farisi,Lhaksmana Kemas Muslim,Kurniawan Isman

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9339608/9339597/09339632.pdf?arnumber=9339632

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QSAR Study on Falcipain Inhibitors as Anti-malaria using Genetic Algorithm-Support Vector Machine;2022 5th International Conference of Computer and Informatics Engineering (IC2IE);2022-09-13

2. Classification of CDK2 Inhibitor as Anti-Cancer Agent by Using Simulated Annealing-Support Vector Machine Methods;2022 International Conference on Data Science and Its Applications (ICoDSA);2022-07-06

3. Theoretical studies of Thiazolyl-Pyrazoline derivatives as promising drugs against malaria by QSAR modelling combined with molecular docking and molecular dynamics simulation;Molecular Simulation;2021-06-07

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