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Machine Learning for Functional Protein Design
A unifying framework that classifies models on the basis of their use of three core data modalities: sequences, structures and …
Learning from Prepandemic Data to Forecast Viral Escape
We introduce a method to predict viral escape from evolutionary data and 3D structure only
Disease Variant Prediction with Deep Generative Models of Evolutionary Data
We learn a distribution over protein sequences with Bayesian VAEs which we then leverage to predict the effects of mutations in human …
