Author

K. A. Barlow

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Biology Disciplines

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Approach:deep learning· 2 Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

T. Kortemme· 2 shared A. A. Glasgow· 1 shared A. L. Loshbaugh· 1 shared C. Krivacic· 1 shared D. J. Mandell· 1 shared D. Jeon· 1 shared J. E. Lucas· 1 shared J. Pellegrino· 1 shared

Activity by Year

2017-2019 · peak 1/yr

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10 top collaborators · 31 mutual co-author links

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2 shared papersBiophysics

T. Kortemme

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2 papers

Recent·Most cited

Computational design of a modular protein sense/response system

A. A. Glasgow, Y.-M. Huang, D. J. Mandell, M. Thompson, R. Ritterson, A. L. Loshbaugh, J. Pellegrino, C. Krivacic, R. A. Pache, K. A. Barlow, N. Ollikainen, D. Jeon, M. J. S. Kelly, J. S. Fraser, T. Kortemme

This paper designs modular protein sensors that respond to specific small molecule inputs using a computational strategy.

bioRxiv · May 24, 2019Biophysics

Flex ddG: Rosetta ensemble-based estimation of changes in protein-protein binding affinity upon mutation

K. A. Barlow, S. O Conchuir, S. Thompson, P. Suresh, J. E. Lucas, M. Heinonen, T. Kortemme

The paper introduces flex ddG, a method using Rosetta to estimate binding affinity changes upon mutation by sampling conformational diversity, and shows it outperforms existing methods in several mutation types.

bioRxiv · Nov 17, 2017Biophysics