7RY2

mSandy2


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.05 Å
  • R-Value Free: 0.223 
  • R-Value Work: 0.190 
  • R-Value Observed: 0.191 

wwPDB Validation   3D Report Full Report


This is version 2.0 of the entry. See complete history


Literature

Generation of bright monomeric red fluorescent proteins via computational design of enhanced chromophore packing.

Legault, S.Fraser-Halberg, D.P.McAnelly, R.L.Eason, M.G.Thompson, M.C.Chica, R.A.

(2022) Chem Sci 13: 1408-1418

  • DOI: https://doi.org/10.1039/d1sc05088e
  • Primary Citation of Related Structures:  
    7RY2

  • PubMed Abstract: 

    Red fluorescent proteins (RFPs) have found widespread application in chemical and biological research due to their longer emission wavelengths. Here, we use computational protein design to increase the quantum yield and thereby brightness of a dim monomeric RFP (mRojoA, quantum yield = 0.02) by optimizing chromophore packing with aliphatic residues, which we hypothesized would reduce torsional motions causing non-radiative decay. Experimental characterization of the top 10 designed sequences yielded mSandy1 ( λ em = 609 nm, quantum yield = 0.26), a variant with equivalent brightness to mCherry, a widely used RFP. We next used directed evolution to further increase brightness, resulting in mSandy2 ( λ em = 606 nm, quantum yield = 0.35), the brightest Discosoma sp. derived monomeric RFP with an emission maximum above 600 nm reported to date. Crystallographic analysis of mSandy2 showed that the chromophore p -hydroxybenzylidene moiety is sandwiched between the side chains of Leu63 and Ile197, a structural motif that has not previously been observed in RFPs, and confirms that aliphatic packing leads to chromophore rigidification. Our results demonstrate that computational protein design can be used to generate bright monomeric RFPs, which can serve as templates for the evolution of novel far-red fluorescent proteins.


  • Organizational Affiliation

    Department of Chemistry and Biomolecular Sciences, University of Ottawa 10 Marie-Curie Ottawa Ontario K1N 6N5 Canada rchica@uottawa.ca.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
mSandy2
A, B, C, D, F
A, B, C, D, F, G
242Discosoma sp.Mutation(s): 0 
UniProt
Find proteins for D1MPT3 (Discosoma sp.)
Explore D1MPT3 
Go to UniProtKB:  D1MPT3
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupD1MPT3
Sequence Annotations
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  • Reference Sequence
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
mSandy2
E, H
242Discosoma sp.Mutation(s): 0 
UniProt
Find proteins for D1MPT3 (Discosoma sp.)
Explore D1MPT3 
Go to UniProtKB:  D1MPT3
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupD1MPT3
Sequence Annotations
Expand
  • Reference Sequence
Small Molecules
Modified Residues  2 Unique
IDChains TypeFormula2D DiagramParent
CH6
Query on CH6
A, B, C, D, F
A, B, C, D, F, G
L-PEPTIDE LINKINGC16 H19 N3 O4 SMET, TYR, GLY
NRQ
Query on NRQ
E, H
L-PEPTIDE LINKINGC16 H17 N3 O4 SMET, TYR, GLY
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.05 Å
  • R-Value Free: 0.223 
  • R-Value Work: 0.190 
  • R-Value Observed: 0.191 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 59.68α = 90
b = 147.21β = 90
c = 240.94γ = 90
Software Package:
Software NamePurpose
XDSdata reduction
PHENIXrefinement
XSCALEdata scaling
pointlessdata scaling
xia2data reduction
Cootmodel building
PHASERphasing

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
Natural Sciences and Engineering Research Council (NSERC, Canada)CanadaRGPIN-2016-04831
Canada Foundation for InnovationCanada26503

Revision History  (Full details and data files)

  • Version 1.0: 2022-01-26
    Type: Initial release
  • Version 1.1: 2022-03-16
    Changes: Database references
  • Version 1.2: 2023-10-18
    Changes: Data collection, Refinement description
  • Version 2.0: 2023-11-15
    Changes: Atomic model, Data collection