QSAR Study on Falcipain Inhibitors as Anti-malaria using Genetic Algorithm-Support Vector Machine-Reference-Cited by-同舟云学术

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QSAR Study on Falcipain Inhibitors as Anti-malaria using Genetic Algorithm-Support Vector Machine

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference of Computer and Informatics Engineering (IC2IE)
language:
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Author:

Ambiar Muhamad Farell¹,Aditsania Annisa¹,Kurniawan Isman¹

Affiliation:

1. School of Computing, Telkom University,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9969903/9970007/09970052.pdf?arnumber=9970052

Reference23 articles.

1. Implementation of ensemble methods on QSAR Study of NS3 inhibitor activity as anti-dengue agent

2. QSAR Study of Fusidic Acid Derivative as Anti-Malaria Agents by using Artificial Neural Network-Genetic Algorithm

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

4. QSAR Study for Prediction of HIV-1 Protease Inhibitor Using the Gravitational Search Algorithm–Neural Network (GSA-NN) Methods

Cited by 2 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. Optimisation-based modelling for explainable lead discovery in malaria;Artificial Intelligence in Medicine;2024-01

2. Implementation of Gravitational Search Algorithm - Ensemble in Predicting of Drug Side Effect: Case Study Hepatobiliary Disorders;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

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