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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions

2022Beni-Suef University Journal of Basic and Applied SciencesJournalOpen access

10.1186/s43088-022-00280-6 Full text15 citations

Authors

5 authors across 2 institutions in 1 country.

Mustapha AbdullahiFirst authorCorresponding
- Kaduna State University (NG)
- Ahmadu Bello University (NG)
Adamu Uzairu
- Ahmadu Bello University (NG)
Gideon Adamu Shallangwa
- Ahmadu Bello University (NG)
Paul Andrew Mamza
- Ahmadu Bello University (NG)
Muhammad Tukur IbrahimSenior author
- Ahmadu Bello University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Computational Drug Discovery Methodslevel 3 · 0.38
Influenza Virus Research Studieslevel 3 · 0.33
Pharmacological Receptor Mechanisms and Effectslevel 3 · 0.06

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · Beni-Suef University Journal of Basic and Applied Sciences · 15 citations
https://openalex.org/W4292297465

Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions · Sankore