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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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Development and evaluation of a standardized QSAR workflow for predicting small-molecule bioactivity across antibacterial, antifungal, and antiviral targets

2026In Silico Research in BiomedicineJournalOpen access

10.1016/j.insi.2026.100501 Full text0 citations

Authors

3 authors.

Mustafa A. IsaFirst authorCorresponding
- University of Maiduguri (NG)
as printed: Mustafa Alhaji Isa
Falmata Audu Gubio
- University of Maiduguri (NG)
Mohammed M. MohammedSenior author
- University of Maiduguri (NG)
as printed: Mohammed Mustapha Mohammed

Fields

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

Computational Drug Discovery Methodslevel 3 · 0.84
Antimicrobial agents and applicationslevel 3 · 0.01
vaccines and immunoinformatics approacheslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · In Silico Research in Biomedicine · 0 citations
https://openalex.org/W7166799437

Development and evaluation of a standardized QSAR workflow for predicting small-molecule bioactivity across antibacterial, antifungal, and antiviral targets · Sankore