In this seminar, Kevin Yang discusses multimodal deep learning for protein engineering. He explains how features computed by Rosetta can be used to predict protein structures more accurately. He also discusses the benefits of pre-training and the importance of domain generalization.
In the seminar, Kevin Yang discusses multimodal deep learning for protein engineering. He emphasizes that there are many features that are important for downstream fitness prediction, but the most important feature will depend on the Downstream task. He also shares that Rosetta has tested other hyperparameters, but has not yet tested numbers in between.