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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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A computational pipeline combining machine learning and molecular simulations identifies repurposed PI3Kα inhibitors from FDA-approved drugs

2026Artificial Intelligence ChemistryJournalOpen access

10.1016/j.aichem.2026.100111 Full text2 citations

Authors

13 authors across 2 institutions in 2 countries.

Prince Danan BiniyamFirst authorCorresponding
- University of Health and Allied Sciences (GH)
Naomi Kayeri
- University of Health and Allied Sciences (GH)
Seth Junior Ayihi
- University of Health and Allied Sciences (GH)
Syed Arslan Haider
Hope Dzitorwoko
- University of Health and Allied Sciences (GH)
Kwabena Adu-Adjei
- University of Health and Allied Sciences (GH)
Michael Osei
- University of Health and Allied Sciences (GH)

Fields

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

Computational Drug Discovery Methodslevel 3 · 0.44
PI3K/AKT/mTOR signaling in cancerlevel 3 · 0.18
Protein Degradation and Inhibitorslevel 3 · 0.09

Sources

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

openalexseen September 5, 2026
2026 · Artificial Intelligence Chemistry · 2 citations
https://openalex.org/W7127948524

Victoria Ohene‐Adu

University of Health and Allied Sciences (GH)

as printed: Victoria Ohene-Adu

Portia Frimpong

University of Health and Allied Sciences (GH)

Clifford Tignangnen Penajah

University of Health and Allied Sciences (GH)

Silas Boakye Amissah

University of Health and Allied Sciences (GH)

Nimra Mazhar

Cedric Dzidzor Kodjo AmengorSenior author

University of Health and Allied Sciences (GH)

A computational pipeline combining machine learning and molecular simulations identifies repurposed PI3Kα inhibitors from FDA-approved drugs · Sankore