Adam J. Riesselman

Deep generative models of genetic variation capture the effects of mutations

Adam J. Riesselman, John Ingraham, Debora S. Marks · Nature Methods · 2018 · 673 citations

Genetic Variation Capture, Deep Generative Models, Genetics +5

Protein design and variant prediction using autoregressive generative models

Jung-Eun Shin, Adam J. Riesselman, Aaron W. Kollasch et al. · Nature Communications · 2021 · 338 citations · Full text

The EVcouplings Python framework for coevolutionary sequence analysis

Thomas A. Hopf, Anna G. Green, Benjamin Schubert et al. · Bioinformatics · 2018 · 307 citations · Full text

3D RNA and Functional Interactions from Evolutionary Couplings

Caleb Weinreb, Adam J. Riesselman, John Ingraham et al. · Cell · 2016 · 191 citations · Full text

Engineering, Rna Structure Prediction, Computational Biology +6

Learning Protein Structure with a Differentiable Simulator

John Ingraham, Adam J. Riesselman, Chris Sander et al. · International Conference on Learning Representations · 2018 · 94 citations

Computational Biology, Protein Bioinformatics, Structural Biology +5