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

Author:

Kurniawan I.12ORCID,Rosalinda M.2,Ikhsan N.1

Affiliation:

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

2. Research Center of Human Centric Engineering, Telkom University, Bandung, Indonesia

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Cited by 14 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. Metabolomics Unveils Disrupted Pathways in Parkinson’s Disease: Toward Biomarker-Based Diagnosis;ACS Chemical Neuroscience;2024-08-23

2. Predicting repurposed drugs targeting the NS3 protease of dengue virus using machine learning-based QSAR, molecular docking, and molecular dynamics simulations;SAR and QSAR in Environmental Research;2024-08-02

3. Machine Learning Based Prediction of Anti-dengue Drugs Using Structure-activity Relationship Study;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

4. Implementation of Camel Algorithm-Ensemble Method for Tuberculosis Detection on HIV Patients based on Gene Expression Data;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

5. Ensemble Learning in QSAR: Unveiling Insights into PTP1B Inhibitors for Diabetes Mellitus Treatment;2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD);2023-11-13

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