FGMA: A Functional Group-enhanced Deep Learning Method for Drug Toxicity Prediction
FGMA offers an effective, efficient, and interpretable tool for drug toxicity analysis. It stands to accelerate the drug discovery pipeline by enabling faster and more insightful safety assessments of potential drug candidates.
Authors
- Jianbo Qiao (ORCID: https://orcid.org/0009-0006-8817-9237)
- Guangmin Liang (ORCID: https://orcid.org/0000-0001-7255-3470)
- Yue Cheng (ORCID: https://orcid.org/0009-0003-0049-3626)
- Siqi Chen
- Leyi Wei
Institutions
- Shandong University (CN)
- Shenzhen Polytechnic University (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- Current Drug Targets
- Published
- 2026-03-03
- DOI
- https://doi.org/10.2174/0113894501440404251216160746
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00