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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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Machine learning and structure-based modelling for the identification of allosteric AKT1 inhibitors in ovarian cancer: an in silico approach

2026In Silico Research in BiomedicineJournalOpen access

10.1016/j.insi.2026.100506 Full text0 citations

Authors

5 authors across 5 institutions in 2 countries.

Rejoice Abla DunuFirst author
- University of Ilorin (NG)
- Kwara State University (NG)
Moses Orimoloye Akinjiyan
- Federal University of Technology (NG)
Idayat Oyinkansola Kehinde
- Adekunle Ajasin University (NG)
Temitayo Abidat Hassan
- Federal University of Technology (NG)
Ishola Abeeb AkinwumiSenior authorCorresponding

Fields

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

PI3K/AKT/mTOR signaling in cancerlevel 3 · 0.91
Computational Drug Discovery Methodslevel 3 · 0.02
Machine Learning in Bioinformaticslevel 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/W7166857144

Machine learning and structure-based modelling for the identification of allosteric AKT1 inhibitors in ovarian cancer: an in silico approach · Sankore