Current limitations in predicting mRNA translation with deep learning models
These differences limit the ability of deep learning models to uncover mechanisms of translation control and to predict the impact of genetic variation. We suggest directions that combine high-throughput measurements and machine learning to unravel mechanisms of translation control and improve construct design.
Authors
- Mihaela Zavolan (ORCID: https://orcid.org/0000-0002-8832-2041)
- Niels Schlusser (ORCID: https://orcid.org/0000-0002-3534-2153)
- Asier González (ORCID: https://orcid.org/0009-0009-0390-5482)
- Muskan Pandey
Institutions
- Universitat Autònoma de Barcelona (ES)
- University of Basel (CH)
- ETH Zurich (CH)
- Institute of Molecular Biology and Biophysics (RU)
Publication Details
- Journal
- Genome biology
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1186/s13059-024-03369-6
- Citations
- 22
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 5.14
Funders
- Universität Basel
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung