In silico QSAR and molecular docking simulation of some novel aryl sulfonamide derivatives as inhibitors of H5N1 influenza A virus subtype

In silico QSAR and molecular docking simulation of some novel aryl sulfonamide derivatives as inhibitors of H5N1 influenza A virus subtype

Abstract Background This research provides a comprehensive analysis of QSAR modeling performed on 25 aryl sulfonamide derivatives to predict their effective concentration (EC50) against H5N1 influenza A virus by using some numerical information derived from structural and chemical features (descript...

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Bibliographic Details
Main Authors: Mustapha Abdullahi, Gideon Adamu Shallangwa, Adamu Uzairu
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Beni-Suef University Journal of Basic and Applied Sciences
Subjects:
Genetic algorithm
Multi-linear regression
Model
Binding score
Hydrogen bond
Online Access:https://doi.org/10.1186/s43088-019-0023-y

Internet

https://doi.org/10.1186/s43088-019-0023-y

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