Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction
Y-h Taguchi, Turki Turki · 2024
Read Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction by Y-h Taguchi, Turki Turki (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11653834.txt.
Description
Taguchi and Turki Turki present a 2024 study on finding drug targets with artificial intelligence. Matching drugs to the genes that drive a disease is slow work, since teams usually must name the disease or the drug first and reason from there.
Their method skips both starting points. An unsupervised learning tool called tensor decomposition scans protein interaction data and pulls out gene sets that look both central to disease and reachable by drugs. The team tested the idea on drug repositioning, asking whether known drugs could serve new diseases. The approach offers a way to surface fresh drug candidates from network data alone, before any lab work begins.
Catalog record
| CREATOR | Y-h Taguchi, Turki Turki |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |