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Adam J Riesselman

Showing results (1-10 of 8) with videos related to

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Plant Biotechnology Journal|October 10, 2013
Constitutive or seed-specific overexpression of Arabidopsis G-protein γ subunit 3 (AGG3) results in increased seed and oil production and improved stress tolerance in Camelina sativaSwarup Roy Choudhury, Adam J Riesselman, Sona Pandey
Nature Methods|September 26, 2018
Deep generative models of genetic variation capture the effects of mutationsAdam J Riesselman, John B Ingraham, Debora S Marks
Cell|April 19, 2016
3D RNA and Functional Interactions from Evolutionary CouplingsCaleb Weinreb, Adam J Riesselman, John B Ingraham, et al.
Nature Communications|April 24, 2021
Protein design and variant prediction using autoregressive generative modelsJung-Eun Shin, Adam J Riesselman, Aaron W Kollasch, et al.
Bioinformatics (Oxford, England)|October 11, 2018
The EVcouplings Python framework for coevolutionary sequence analysisThomas A Hopf, Anna G Green, Benjamin Schubert, et al.
Biorxiv : the Preprint Server for Biology|May 22, 2023
Simultaneous enhancement of multiple functional properties using evolution-informed protein designBenjamin Fram, Ian Truebridge, Yang Su, et al.
Nature Communications|June 20, 2024
Simultaneous enhancement of multiple functional properties using evolution-informed protein designBenjamin Fram, Yang Su, Ian Truebridge, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Machine learning enables efficient and effective affinity maturation of nanobodiesSteffanie Paul, Edward P Harvey, James Osei-Owusu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Plant Biotechnology Journal|October 10, 2013
Constitutive or seed-specific overexpression of Arabidopsis G-protein γ subunit 3 (AGG3) results in increased seed and oil production and improved stress tolerance in Camelina sativaSwarup Roy Choudhury, Adam J Riesselman, Sona Pandey
Nature Methods|September 26, 2018
Deep generative models of genetic variation capture the effects of mutationsAdam J Riesselman, John B Ingraham, Debora S Marks
Cell|April 19, 2016
3D RNA and Functional Interactions from Evolutionary CouplingsCaleb Weinreb, Adam J Riesselman, John B Ingraham, et al.
Nature Communications|April 24, 2021
Protein design and variant prediction using autoregressive generative modelsJung-Eun Shin, Adam J Riesselman, Aaron W Kollasch, et al.
Bioinformatics (Oxford, England)|October 11, 2018
The EVcouplings Python framework for coevolutionary sequence analysisThomas A Hopf, Anna G Green, Benjamin Schubert, et al.
Biorxiv : the Preprint Server for Biology|May 22, 2023
Simultaneous enhancement of multiple functional properties using evolution-informed protein designBenjamin Fram, Ian Truebridge, Yang Su, et al.
Nature Communications|June 20, 2024
Simultaneous enhancement of multiple functional properties using evolution-informed protein designBenjamin Fram, Yang Su, Ian Truebridge, et al.
Biorxiv : the Preprint Server for Biology|February 6, 2026
Machine learning enables efficient and effective affinity maturation of nanobodiesSteffanie Paul, Edward P Harvey, James Osei-Owusu, et al.
Pageof 1