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Hahnbeom Park

Showing results (51-60 of 58) with videos related to

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Nature|September 14, 2018
De novo design of a fluorescence-activating β-barrelJiayi Dou, Anastassia A Vorobieva, William Sheffler, et al.
Journal of Chemical Theory and Computation|June 6, 2022
Correction to "The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design"Rebecca F Alford, Andrew Leaver-Fay, Jeliazko R Jeliazkov, et al.
Journal of Chemical Theory and Computation|April 22, 2017
The Rosetta All-Atom Energy Function for Macromolecular Modeling and DesignRebecca F Alford, Andrew Leaver-Fay, Jeliazko R Jeliazkov, et al.
Science (New York, N.Y.)|July 20, 2021
Accurate prediction of protein structures and interactions using a three-track neural networkMinkyung Baek, Frank DiMaio, Ivan Anishchenko, et al.
Proteins|October 25, 2013
Blind prediction of interfacial water positions in CAPRIMarc F Lensink, Iain H Moal, Paul A Bates, et al.
Proteins|July 12, 2013
Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactionsRocco Moretti, Sarel J Fleishman, Rudi Agius, et al.
Journal of Molecular Biology|October 18, 2011
Community-wide assessment of protein-interface modeling suggests improvements to design methodologySarel J Fleishman, Timothy A Whitehead, Eva-Maria Strauch, et al.
Nature Methods|June 3, 2020
Macromolecular modeling and design in Rosetta: recent methods and frameworksJulia Koehler Leman, Brian D Weitzner, Steven M Lewis, et al.
Pageof 6

Showing results (51-60 of 58) with videos related to

Sort By:
Pageof 6
You have reached the last page of results.This site can display upto 58 results.
Nature|September 14, 2018
De novo design of a fluorescence-activating β-barrelJiayi Dou, Anastassia A Vorobieva, William Sheffler, et al.
Journal of Chemical Theory and Computation|June 6, 2022
Correction to "The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design"Rebecca F Alford, Andrew Leaver-Fay, Jeliazko R Jeliazkov, et al.
Journal of Chemical Theory and Computation|April 22, 2017
The Rosetta All-Atom Energy Function for Macromolecular Modeling and DesignRebecca F Alford, Andrew Leaver-Fay, Jeliazko R Jeliazkov, et al.
Science (New York, N.Y.)|July 20, 2021
Accurate prediction of protein structures and interactions using a three-track neural networkMinkyung Baek, Frank DiMaio, Ivan Anishchenko, et al.
Proteins|October 25, 2013
Blind prediction of interfacial water positions in CAPRIMarc F Lensink, Iain H Moal, Paul A Bates, et al.
Proteins|July 12, 2013
Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactionsRocco Moretti, Sarel J Fleishman, Rudi Agius, et al.
Journal of Molecular Biology|October 18, 2011
Community-wide assessment of protein-interface modeling suggests improvements to design methodologySarel J Fleishman, Timothy A Whitehead, Eva-Maria Strauch, et al.
Nature Methods|June 3, 2020
Macromolecular modeling and design in Rosetta: recent methods and frameworksJulia Koehler Leman, Brian D Weitzner, Steven M Lewis, et al.
Pageof 6