research
∙
09/30/2022
Protein structure generation via folding diffusion
The ability to computationally generate novel yet physically foldable pr...
share
research
∙
06/14/2022
Exploring evolution-based -free protein language models as protein function predictors
Large-scale Protein Language Models (PLMs) have improved performance in ...
research
∙
09/08/2021
Machine learning modeling of family wide enzyme-substrate specificity screens
Biocatalysis is a promising approach to sustainably synthesize pharmaceu...
research
∙
06/10/2021
Adaptive machine learning for protein engineering
Machine-learning models that learn from data to predict how protein sequ...
research
∙
04/09/2021
Protein sequence design with deep generative models
Protein engineering seeks to identify protein sequences with optimized p...
research
∙
04/17/2019
