AlphaFold and Protein Language Models
About this resource
In a talk hosted by the University of Wisconsin-Madison’s Computational Biology, Ecology, and Evolution (ComBEE) community, Dr. Hannah Wayment-Steele discusses AlphaFold, an model developed by DeepMind that predicts protein structures from amino acid sequences, along with other similar proten language models ESM and EvoFormer. Wayment-Steele describes the model’s architecture, applications in structural biology, and current pitfalls such as with isoforms.
Bio: Dr. Hannah Wayment-Steele is a assistant professor at UW Madison with a PHD in chemistry from Standford. Her lab focus on biomolecular dynamics and mechanisms that underlie biological function and shape evolution, bringing together the fields of data science, deep learning, and NMR spectroscopy.
See also
- Wayman Steele Lab: Learn more about Dr. Wayment-Steel’s work from her labratory website.
- ComBEE: Main paige for ComBEE.
- ML 4 Protein Engineering: Join this research community’s mailing list and visit their YouTube channel to explore the intersection of ML and protein engineering.