Author

A. Leaver-Fay

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

B. Kuhlman· 1 shared D. Baker· 1 shared F. P. DiMaio· 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

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBiophysics

B. Kuhlman

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BiophysicsbioRxivFeb 7, 2017

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

R. F. Alford, A. Leaver-Fay, J. R. Jeliazkov…·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.

DOI 10.1021/acs.jctc.7b00125

protein structuredeep learning

𝕏 PostBluesky