In-silico modelling studies of 5-benzyl-4-thiazolinone derivatives as influenza neuraminidase inhibitors via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions

Author:

Abdullahi MustaphaORCID,Uzairu Adamu,Shallangwa Gideon Adamu,Mamza Paul Andrew,Ibrahim Muhammad Tukur

Publisher

Elsevier BV

Subject

Multidisciplinary

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2. Quantitative structure-activity relationship (QSAR) modelling study of some novel carboxamide series as new anti-tubercular agents;Abdullahi;Bull. Natl. Res. Cent.,2020

3. In-silico design and ADMET predictions of some new imidazo [1, 2-a] pyridine-3-carboxamides (IPAs) as anti-tubercular agents;Abdullahi;J. Clin. Tuberc. Other Mycobact. Dis.,2021

4. In silico QSAR and molecular docking simulation of some novel aryl sulfonamide derivatives as inhibitors of H5N1 influenza A virus subtype;Abdullahi;J. Basic Appl. Sci.,2020

5. The E119D neuraminidase mutation identified in a multidrug-resistant influenza A(H1N1)pdm09 isolate severely alters viral fitness in vitro and in animal models;Abed;Antivir. Res.,2016

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