Author

P. D. Renfrew

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

Biology Disciplines

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Biophysics· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:benchmarking· 2 Research Focus:protein design· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Approach:experimental assay· 1 Assay:protein sequence· 1

Frequent Co-Authors

R. Bonneau· 2 shared V. K. Mulligan· 2 shared A. Leaver-Fay· 1 shared A. M. Watkins· 1 shared B. D. Weitzner· 1 shared B. Kuhlman· 1 shared C. L. Müller· 1 shared C. Pelissier· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioengineering

R. Bonneau

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3 papers

Recent·Most cited

CMA-ES-Rosetta: Blackbox optimization algorithm traverses rugged peptide docking energy landscapes

E. R. Claussen, P. D. Renfrew, C. L. Müller, K. Drew

The paper evaluates CMA-ES as an alternative optimization method for peptide docking, finding it outperforms default Rosetta minimizers on 23 out of 26 benchmark peptides.

bioRxiv · Dec 19, 2022 · PreprintBiophysics

Designing Peptides on a Quantum Computer

V. K. Mulligan, H. Melo, H. I. Merritt, S. Slocum, B. D. Weitzner, A. M. Watkins, P. D. Renfrew, C. Pelissier, P. S. Arora, R. Bonneau

This paper maps protein design to a quantum annealer, demonstrating real-world applicability of quantum computing in designing peptides comparable to classical methods.

bioRxiv · Mar 11, 2020 · PreprintBioengineering

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