2D-QSAR, 3D-QSAR, molecular docking and ADMET prediction studies of some novel 2-((1H-indol-3-yl)thio)-N-phenyl-acetamide derivatives as anti-influenza A virus

Mustapha Abdullahia Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Federal Republic of Nigeria;b Faculty of Sciences, Department of Pure and Applied Chemistry, Kaduna State University, Kaduna State, Federal Republic of NigeriaCorrespondence[email protected]

https://orcid.org/0000-0002-8533-6245

Adamu Uzairua Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Federal Republic of Nigeria

Gideon Adamu Shallangwaa Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Federal Republic of Nigeria

Paul Andrew Mamzaa Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Federal Republic of Nigeria

Muhammad Tukur Ibrahima Faculty of Physical Sciences, Department of Chemistry, Ahmadu Bello University, Zaria, Federal Republic of Nigeria

2D-QSAR, 3D-QSAR, molecular docking and ADMET prediction studies of some novel 2-((1H-indol-3-yl)thio)-N-phenyl-acetamide derivatives as anti-influenza A virus

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2D-QSAR, 3D-QSAR, molecular docking and ADMET prediction studies of some novel 2-((1H-indol-3-yl)thio)-N-phenyl-acetamide derivatives as anti-influenza A virus

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