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