Combining ML-based Models with Sequence & Structure-Based Features for mRNA Optimization
Time: 4:30 pm
day: Day One
Details:
- Incorporation of multiple state-of-the-art open-source ML models (autoregressive and autoencoding) with structural, sequence, and manufacturing heuristics into a coordinated framework to generate improved mRNA candidates
- Development of a rigorous data curation strategy, involving meticulous filtering and integration of publicly available datasets to precisely align with the objectives of our optimization challenge
- Validation and refinement of our end-to-end pipeline’s performance through in-house experimental data
