PlasmidRiskNet: An explainable machine-learning framework for antimicrobial resistance plasmid risk stratification
Oluwaseun E. Agboola, Samuel S. Agboola, Oluwaseun Ruth Olasehinde, Temitope C. Aribigbola, Anuoluwapo Bukola Shaleye, I. Adefolake Alebiosu, Babatunji E. Oyinloye, Idowu O. Omotuyi, Abel Kolawole Oyebamiji, Olusola Tolulope Fakoyede · 2026
Read PlasmidRiskNet: An explainable machine-learning framework for antimicrobial resistance plasmid risk stratification by Oluwaseun E. Agboola, Samuel S. Agboola, Oluwaseun Ruth Olasehinde, Temitope C. Aribigbola, Anuoluwapo Bukola Shaleye, I. Adefolake Alebiosu, Babatunji E. Oyinloye, Idowu O. Omotuyi, Abel Kolawole Oyebamiji, Olusola Tolulope Fakoyede (2026) 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/PMC13470093.txt.
Description
Agboola and a team in Nigeria built in 2026 a machine learning frame, PlasmidRiskNet, to grade loose gene rings in germs by risk. The rings, called plasmids, ferry drug proof genes from germ to germ. Their frame scored more than seventy thousand rings from a world bank. It weighed gene load, how apt each ring is to move, and how rings link in a shared web, then trained three sorters.
Inside checks looked near flawless, but the team is frank: those grades came from the same traits, so the scores prove fit, not foresight. A fair out test on world health lists gave a mild score. The frame flagged one ring class well, the metallo type, but fell to chance on two more. Ring length, not move skill, drove most of the load. The authors sell it as a first screen, not a judge.
Catalog record
| CREATOR | Oluwaseun E. Agboola, Samuel S. Agboola, Oluwaseun Ruth Olasehinde, Temitope C. Aribigbola, Anuoluwapo Bukola Shaleye, I. Adefolake Alebiosu, Babatunji E. Oyinloye, Idowu O. Omotuyi, Abel Kolawole Oyebamiji, Olusola Tolulope Fakoyede |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |