7RRI image
Entry Detail
PDB ID:
7RRI
Title:
Crystal structure of fast switching S142A/M159T mutant of fluorescent protein Dronpa (Dronpa2)
Biological Source:
Source Organism:
PDB Version:
Deposition Date:
2021-08-09
Release Date:
2021-10-13
Method Details:
Experimental Method:
Resolution:
2.64 Å
R-Value Free:
0.28
R-Value Work:
0.22
R-Value Observed:
0.22
Space Group:
P 1 21 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Fluorescent protein Dronpa
Mutations:S142A/M159T
Chain IDs:A, B, C, D, E, F, G, H
Chain Length:257
Number of Molecules:8
Biological Source:Echinophyllia sp. SC22
Modified Residue
Compound ID Chain ID Parent Comp ID Details 2D Image
GYC A CYS chromophore
Primary Citation
Energetic Basis and Design of Enzyme Function Demonstrated Using GFP, an Excited-State Enzyme.
J.Am.Chem.Soc. 144 3968 3978 (2022)
PMID: 35200017 DOI: 10.1021/jacs.1c12305

Abstact

The past decades have witnessed an explosion of de novo protein designs with a remarkable range of scaffolds. It remains challenging, however, to design catalytic functions that are competitive with naturally occurring counterparts as well as biomimetic or nonbiological catalysts. Although directed evolution often offers efficient solutions, the fitness landscape remains opaque. Green fluorescent protein (GFP), which has revolutionized biological imaging and assays, is one of the most redesigned proteins. While not an enzyme in the conventional sense, GFPs feature competing excited-state decay pathways with the same steric and electrostatic origins as conventional ground-state catalysts, and they exert exquisite control over multiple reaction outcomes through the same principles. Thus, GFP is an "excited-state enzyme". Herein we show that rationally designed mutants and hybrids that contain environmental mutations and substituted chromophores provide the basis for a quantitative model and prediction that describes the influence of sterics and electrostatics on excited-state catalysis of GFPs. As both perturbations can selectively bias photoisomerization pathways, GFPs with fluorescence quantum yields (FQYs) and photoswitching characteristics tailored for specific applications could be predicted and then demonstrated. The underlying energetic landscape, readily accessible via spectroscopy for GFPs, offers an important missing link in the design of protein function that is generalizable to catalyst design.

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