Name
Abstract | ||
|---|---|---|
Drug-induced liver injury (DILI) is a challenging endpoint in predictive toxicology because of the complex reactive metabolites that cause liver damage and the wide range of mechanisms involved in the development of the disease. ToxSTAR provides structural similarity-based DILI analysis and in-house DILI prediction models that predict four DILI subtypes (cholestasis, cirrhosis, hepatitis and steatosis) based on drug and drug metabolite molecules. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1093/bioinformatics/btac490 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 38 | 18 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyun Kil Shin | 1 | 0 | 0.34 |
| Hang-Suk Chun | 2 | 0 | 0.34 |
| Sangwoo Lee | 3 | 53 | 15.00 |
| Se-Myo Park | 4 | 0 | 0.34 |
| Daeui Park | 5 | 0 | 0.68 |
| Myung-Gyun Kang | 6 | 0 | 0.34 |
| Sungbo Hwang | 7 | 0 | 0.68 |
| Jung-Hwa Oh | 8 | 0 | 0.34 |
| Hyoung-Yun Han | 9 | 0 | 0.34 |
| Woo-Keun Kim | 10 | 0 | 0.34 |
| Seokjoo Yoon | 11 | 0 | 0.34 |