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Debora S Marks

Showing results (41-50 of 103) with videos related to

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Nature|December 18, 2021
Publisher Correction: Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Science (New York, N.Y.)|April 4, 2015
Gene expression. MicroRNA control of protein expression noiseJörn M Schmiedel, Sandy L Klemm, Yannan Zheng, et al.
Science (New York, N.Y.)|November 7, 2024
Continuous evolution of user-defined genes at 1 million times the genomic mutation rateGordon Rix, Rory L Williams, Vincent J Hu, et al.
Nature Ecology & Evolution|April 1, 2022
Co-evolution of interacting proteins through non-contacting and non-specific mutationsDavid Ding, Anna G Green, Boyuan Wang, et al.
Cell Systems|August 17, 2023
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?Birte Höcker, Peilong Lu, Anum Glasgow, et al.
Nature Biotechnology|January 17, 2017
Mutation effects predicted from sequence co-variationThomas A Hopf, John B Ingraham, Frank J Poelwijk, et al.
Nature Communications|February 22, 2024
Protein design using structure-based residue preferencesDavid Ding, Ada Y Shaw, Sam Sinai, et al.
Nature Genetics|June 19, 2019
Inferring protein 3D structure from deep mutation scansNathan J Rollins, Kelly P Brock, Frank J Poelwijk, et al.
Science (New York, N.Y.)|June 12, 2025
Evolutionary-scale enzymology enables exploration of a rugged catalytic landscapeDuncan F Muir, Garrison P R Asper, Pascal Notin, et al.
Nature|October 11, 2023
Learning from prepandemic data to forecast viral escapeNicole N Thadani, Sarah Gurev, Pascal Notin, et al.
Pageof 11

Showing results (41-50 of 103) with videos related to

Sort By:
Pageof 11
Nature|December 18, 2021
Publisher Correction: Disease variant prediction with deep generative models of evolutionary dataJonathan Frazer, Pascal Notin, Mafalda Dias, et al.
Science (New York, N.Y.)|April 4, 2015
Gene expression. MicroRNA control of protein expression noiseJörn M Schmiedel, Sandy L Klemm, Yannan Zheng, et al.
Science (New York, N.Y.)|November 7, 2024
Continuous evolution of user-defined genes at 1 million times the genomic mutation rateGordon Rix, Rory L Williams, Vincent J Hu, et al.
Nature Ecology & Evolution|April 1, 2022
Co-evolution of interacting proteins through non-contacting and non-specific mutationsDavid Ding, Anna G Green, Boyuan Wang, et al.
Cell Systems|August 17, 2023
How can the protein design community best support biologists who want to harness AI tools for protein structure prediction and design?Birte Höcker, Peilong Lu, Anum Glasgow, et al.
Nature Biotechnology|January 17, 2017
Mutation effects predicted from sequence co-variationThomas A Hopf, John B Ingraham, Frank J Poelwijk, et al.
Nature Communications|February 22, 2024
Protein design using structure-based residue preferencesDavid Ding, Ada Y Shaw, Sam Sinai, et al.
Nature Genetics|June 19, 2019
Inferring protein 3D structure from deep mutation scansNathan J Rollins, Kelly P Brock, Frank J Poelwijk, et al.
Science (New York, N.Y.)|June 12, 2025
Evolutionary-scale enzymology enables exploration of a rugged catalytic landscapeDuncan F Muir, Garrison P R Asper, Pascal Notin, et al.
Nature|October 11, 2023
Learning from prepandemic data to forecast viral escapeNicole N Thadani, Sarah Gurev, Pascal Notin, et al.
Pageof 11