Application
- Name
- TRIDENT
- Type
- Custom App
- URL
- https://trident.serve.scilifelab.se
- Source Code
- https://github.com/StyrbjornKall/TRIDENT_application
- Image
- styrbjornk/streamlit-app-trident-serve-v4.2
- Created
- 16 Jan, 2024
- Updated
- 24 Oct, 2024
- Tags
- ai, cheminformatics, ecotoxicity, ml, transformers
Predicting chemical EC50 and EC10 ecotoxiticy values towards fish, aquatic invertebrate, and algae for a diverse set of effects using AI. Publication in Science Advances available through DOI: https://doi.org/10.1126/sciadv.adk6669
Software
- Type
- Cloud Application
- Operating System
- Kubernetes
- Version
- ghcr.io/scilifelabdatacentre/serve-charts/custom-app:1.0.2
Resource
Project
- Name
- TRIDENT
- Created
- 12 Dec, 2023
Predicting chemical ecotoxicity using AI. TRIDENT is a transformer-based deep learning model that predicts the EC50 and EC10 ecotoxicity values of chemicals for the organism groups fish, aquatic invertebrates and algae for a diverse set of effects. The models can be used to predict various endpoints, effects and exposure durations. The associated publication in Science Advances is available through https://doi.org/10.1126/sciadv.adk6669.
Owner
Käll Styrbjörn
kall.styrbjorn@gmail.com
Chalmers University of Technology
other
