Multimodal deep learning for protein engineering

Kevin Yang
Microsoft Research, Senior Researcher
Friday, February 17, 2023 - 11:00am
Ramsay Wright Building, Room 432
Invited Speaker Seminar
Engineered proteins play increasingly essential roles in industries and applications spanning pharmaceuticals, agriculture, specialty chemicals, and fuel. Machine learning could enable an unprecedented level of control in protein engineering for therapeutic and industrial applications. Large self-supervised models pretrained on millions of protein sequences have recently gained popularity in generating embeddings of protein sequences for protein property prediction. However, protein datasets contain information in addition to sequence that can improve model performance. This talk will cover pretrained models that use both sequences, structures, and annotations to predict protein function or to generate functional protein sequences.
Alan Moses
Dept of Cell and Systems Biology
Live Stream Link: