Riesselman, Adam J.

Deep generative models of genetic variation capture the effects of mutations

Riesselman, A. J., Ingraham, J. B., & Marks, D. S. (2018) · Nature Methods

Genomics and Phylogenetic StudiesEvolution and Genetic Dynamics

Cited by 601

Protein design and variant prediction using autoregressive generative models

Shin, J.-E., Riesselman, A. J., Kollasch, A. W., McMahon, C., Simon, E., Sander, C., Manglik, A., Kruse, A. C., & Marks, D. S. (2021) · Nature Communications

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 320

3D RNA and Functional Interactions from Evolutionary Couplings

Weinreb, C., Riesselman, A. J., Ingraham, J. B., Gross, T., Sander, C., & Marks, D. S. (2016) · Cell

RNA and protein synthesis mechanismsProtein Structure and Dynamics

Cited by 159

Simultaneous enhancement of multiple functional properties using evolution-informed protein design

Fram, B., Truebridge, I., Su, Y., Riesselman, A. J., Ingraham, J. B., Passera, A., Napier, E., Thadani, N. N., Lim, S., Roberts, K., et al. (2023) · Nature Communications

Protein Structure and DynamicsEnzyme Catalysis and Immobilization

Cited by 34

Simultaneous enhancement of multiple functional properties using evolution-informed protein design

Fram, B., Su, Y., Truebridge, I., Riesselman, A. J., Ingraham, J. B., Passera, A., Napier, E., Thadani, N. N., Lim, S., Roberts, K., et al. (2024) · Nature Communications

Protein Structure and DynamicsEnzyme Catalysis and Immobilization

Cited by 34

The future of cerebral organoids in drug discovery

Salick, M. R., Lubeck, E., Riesselman, A., & Kaykas, A. (2021) · Seminars in Cell & Developmental Biology

Pluripotent Stem Cells ResearchNeurogenesis and neuroplasticity mechanisms

Cited by 29