1. Computational redesign of a fluorogen activating protein with Rosetta.
- Author
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Bozhanova NG, Harp JM, Bender BJ, Gavrikov AS, Gorbachev DA, Baranov MS, Mercado CB, Zhang X, Lukyanov KA, Mishin AS, and Meiler J
- Subjects
- Amino Acid Sequence, Boron Compounds chemistry, Computational Biology, Crystallography, X-Ray, Drug Design, Fluorescence, HEK293 Cells, Humans, Luminescent Proteins genetics, Microscopy, Fluorescence, Models, Molecular, Molecular Docking Simulation, Protein Conformation, Protein Engineering statistics & numerical data, Recombinant Proteins chemistry, Recombinant Proteins genetics, Software, Fluorescent Dyes chemistry, Luminescent Proteins chemistry, Protein Engineering methods
- Abstract
The use of unnatural fluorogenic molecules widely expands the pallet of available genetically encoded fluorescent imaging tools through the design of fluorogen activating proteins (FAPs). While there is already a handful of such probes available, each of them went through laborious cycles of in vitro screening and selection. Computational modeling approaches are evolving incredibly fast right now and are demonstrating great results in many applications, including de novo protein design. It suggests that the easier task of fine-tuning the fluorogen-binding properties of an already functional protein in silico should be readily achievable. To test this hypothesis, we used Rosetta for computational ligand docking followed by protein binding pocket redesign to further improve the previously described FAP DiB1 that is capable of binding to a BODIPY-like dye M739. Despite an inaccurate initial docking of the chromophore, the incorporated mutations nevertheless improved multiple photophysical parameters as well as the overall performance of the tag. The designed protein, DiB-RM, shows higher brightness, localization precision, and apparent photostability in protein-PAINT super-resolution imaging compared to its parental variant DiB1. Moreover, DiB-RM can be cleaved to obtain an efficient split system with enhanced performance compared to a parental DiB-split system. The possible reasons for the inaccurate ligand binding pose prediction and its consequence on the outcome of the design experiment are further discussed., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2021
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