Computational design of chemogenetic and optogenetic split proteins

Onur Dagliyan; Andrey Krokhotin; Irem Ozkan-Dagliyan; Alexander Deiters; Channing J. Der; Klaus M. Hahn; Nikolay V. Dokholyan

doi:10.1038/s41467-018-06531-4

Nature Communications (Oct 2018)

Computational design of chemogenetic and optogenetic split proteins

Onur Dagliyan,
Andrey Krokhotin,
Irem Ozkan-Dagliyan,
Alexander Deiters,
Channing J. Der,
Klaus M. Hahn,
Nikolay V. Dokholyan

Affiliations

Onur Dagliyan: Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill
Andrey Krokhotin: Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill
Irem Ozkan-Dagliyan: Department of Pharmacology, University of North Carolina at Chapel Hill
Alexander Deiters: Department of Chemistry, University of Pittsburgh
Channing J. Der: Department of Pharmacology, University of North Carolina at Chapel Hill
Klaus M. Hahn: Department of Pharmacology, University of North Carolina at Chapel Hill
Nikolay V. Dokholyan: Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill

DOI: https://doi.org/10.1038/s41467-018-06531-4
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 8

Abstract

Read online

Designing split protein approaches is time consuming and often results in high background activity due to spontaneous assembly. Here the authors present an automated approach which uses a split energy scoring function to identify optimal protein split sites and reduces spontaneous assembly.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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