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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Predicting Antibacterial Drugs Properties Using Graph Topological Indices and Machine Learning

2024IEEE AccessJournalOpen access

10.1109/access.2024.3503760 Full text11 citations

Authors

5 authors across 3 institutions in 3 countries.

Muhammad Shafii AbubakarFirst author
- Sefako Makgatho Health Sciences University (ZA)
O Ejima
- Usmanu Danfodiyo University (NG)
as printed: Ejima Ojonugwa
Ridwan A. Sanusi
Abdulkarim Hassan Ibrahim
Kazeem Olalekan AremuSenior author
- Sefako Makgatho Health Sciences University (ZA)

Fields

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

Computational Drug Discovery Methodslevel 3 · 1.00
Graph theory and applicationslevel 3 · 0.97
Protein Structure and Dynamicslevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2024 · IEEE Access · 11 citations
https://openalex.org/W4404563171

Predicting Antibacterial Drugs Properties Using Graph Topological Indices and Machine Learning · Sankore