MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level
Inyoung Sung, Sangseon Lee, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim · 2025
Read MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level by Inyoung Sung, Sangseon Lee, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim (2025) 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-11802568.txt.
Description
Inyoung Sung and five co-authors present a 2024 paper on a method that scores drug induced liver injury from gene activity data. Liver damage is a top reason drugs fail, and studying it patient by patient is slow. Gene changes in cells exposed to a drug appear earlier and in bulk data sets, but dose and timing warp the signal, and known mechanisms live in text, not code.
Their tool, a multi dimensional transcriptomic ruler, maps gene changes onto known biological pathways drawn from a curated database. Scores then aggregate pathway by pathway into one interpretable toxicity profile. The representation quantifies injury degree while staying readable, so toxicologists can see which mechanisms a drug disturbs.
Catalog record
| CREATOR | Inyoung Sung, Sangseon Lee, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |