Author

F. P. DiMaio

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Biophysics· 1

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Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

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A. Leaver-Fay· 1 shared B. Kuhlman· 1 shared D. Baker· 1 shared H. Park· 1 shared J. J. Gray· 1 shared J. R. Jeliazkov· 1 shared J. W. Labonte· 1 shared K. Kappel· 1 shared

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2017-2017 · peak 1/yr

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1 shared paperBiophysics

A. Leaver-Fay

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1 paper

Recent·Most cited

The Rosetta all-atom energy function for macromolecular modeling and design

R. F. Alford, A. Leaver-Fay, J. R. Jeliazkov, M. J. O'Meara, F. P. DiMaio, H. Park, M. V. Shapovalov, P. D. Renfrew, V. K. Mulligan, K. Kappel, J. W. Labonte, M. S. Pacella, R. Bonneau, P. Bradley, R. L. Dunbrack, , J. J. Gray

The paper explains the Rosetta all-atom energy function, its mathematical models, and its application to biomolecular modeling and design, including new capabilities for membrane proteins and other macromolecules.

bioRxiv · Feb 7, 2017Biophysics