Combination therapy synergism prediction for virus treatment using machine learning models

Open Access

Peer-reviewed

Research Article

About the Authors

Shayan Majidifar

Roles Methodology, Software, Writing – original draft

Affiliation Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

Arash Zabihian

Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

Affiliation Department of QA, Kimia Zist Parsian Pharmaceutical Company, Zanjan, Iran

Mohsen Hooshmand

Roles Conceptualization, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran

The authors have declared that no competing interests exist.

Machine learning
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Antiviral therapy
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Drug therapy
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Viral vectors
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Herpes simplex virus-1
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Sequence alignment
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Support vector machines
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Trees
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