research
∙
06/09/2023
PoET: A generative model of protein families as sequences-of-sequences
Generative protein language models are a natural way to design new prote...
share
research
∙
10/24/2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
In many imaging modalities, objects of interest can occur in a variety o...
research
∙
10/05/2022
Antibody Representation Learning for Drug Discovery
Therapeutic antibody development has become an increasingly popular appr...
research
∙
04/03/2022
Few Shot Protein Generation
We present the MSA-to-protein transformer, a generative model of protein...
research
∙
12/01/2021
Learning to automate cryo-electron microscopy data collection with Ptolemy
Over the past decade, cryogenic electron microscopy (cryo-EM) has emerge...
research
∙
09/25/2019
Explicitly disentangling image content from translation and rotation with spatial-VAE
Given an image dataset, we are often interested in finding data generati...
research
∙
09/11/2019
Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models
Cryo-electron microscopy (cryo-EM) is a powerful technique for determini...
research
∙
02/22/2019
Learning protein sequence embeddings using information from structure
Inferring the structural properties of a protein from its amino acid seq...
research
∙
03/22/2018