Author

A. U. Lowegard

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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Biochemistry· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1 Approach:statistical model· 1 Assay:structural biology· 1

Frequent Co-Authors

A. Ojewole· 1 shared B. Donald· 1 shared B. R. Donald· 1 shared D. R. Madden· 1 shared G. Holt· 1 shared G. T. Holt· 1 shared J. D. Jou· 1 shared J. Jou· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBiochemistry

A. Ojewole

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2 papers

Recent·Most cited

Computational Analysis of Energy Landscapes Reveals Dynamic Features that Contribute to Binding of Inhibitors to CFTR-Associated Ligand

G. T. Holt, J. D. Jou, N. P. Gill, A. U. Lowegard, J. W. Martin, D. R. Madden, B. R. Donald

The paper analyzes energy landscapes of CALP-inhibitor complexes to identify structural and dynamic features contributing to binding efficiency of kCAL01.

The Journal of Physical Chemistry B · Nov 7, 2019Peer-reviewedBiochemistry

Novel, provable algorithms for efficient ensemble-based computational protein design and their application to the redesign of the c-Raf-RBD:KRas protein-protein interface

A. U. Lowegard, M. Frenkel, J. Jou, A. Ojewole, G. Holt, B. Donald

This paper introduces two provable algorithms for efficient computational protein design and applies them to redesign the c-Raf-RBD:KRas interface, achieving high accuracy in predicting and validating mutations.

bioRxiv · Oct 2, 2019Biochemistry