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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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Predicting Plasmodium falciparum kinase inhibitors from antimalarial medicinal herbs using computational modeling approach

2023In Silico PharmacologyJournalOpen access

10.1007/s40203-023-00175-z Full text5 citations

Authors

6 authors across 4 institutions in 2 countries.

Temitope Isaac AdelusiFirst authorCorresponding
- Ladoke Akintola University of Technology (NG)
Taiwo Ooreoluwa Ojo
- Ladoke Akintola University of Technology (NG)
- Helix Biogen Institute (NG)
Olawale Quadri Bolaji
- Ladoke Akintola University of Technology (NG)
Moyosoluwa Precious Oyewole
- Ladoke Akintola University of Technology (NG)
Olamide T. Olaoba
as printed: Olamide Tosin Olaoba
Elijah Kolawole OladipoSenior author
- Ladoke Akintola University of Technology (NG)
- Adeleke University (NG)
- Helix Biogen Institute (NG)

Fields

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

Malaria Research and Controllevel 3 · 0.96
Computational Drug Discovery Methodslevel 3 · 0.01
Diverse Scientific Research Studieslevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2023 · In Silico Pharmacology · 5 citations
https://openalex.org/W4389937839

Predicting Plasmodium falciparum kinase inhibitors from antimalarial medicinal herbs using computational modeling approach · Sankore