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The following sections give a detailed information on this chromoprotein done by its in silico analysis.
 
The following sections give a detailed information on this chromoprotein done by its in silico analysis.
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<span class='h3bb'>Plot 1</span>
 
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<span class='h3bb'>Plot 2</span>
 
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<span class='h3bb'>Plot 3</span>
 
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<br> Plot 1
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<p>The area built by the circles colored in different shades of grey in the plot on the left hand side represent the QMEAN scores of the reference structures from the PDB. The model's QMEAN score is compared to the scores obtain for experimental structures of similar size (model size +/- 10%) and a Z-score is calculated. A Z-score (or standard score) is a score which is normalised to mean 0 and standard deviation 1. Thus the QMEAN Z-score directly indicates how many standard deviations the model's QMEAN score differs from expected values for experimental structures. In analogy, Z-scores are calculated for all four statistical potential terms as well as the agreement terms being part of the QMEAN score.</p>
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<br>Plot 2
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<p>The plot in the middle shows the density plot (based on the QMEAN score) of all reference models used in the Z-score calculation. The location of the query model with respect to the background distribution is marked in red. This plot basically is a "projection" of the first plot for the given protein size. The number of reference models used in the calculation is shown at the bottom of the plot.</p>
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<br>Plot 3
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<p>The analysis of these Z-scores of the individual terms can help identifying the geometrical features responsible for an observed large negative QMEAN Z-score. Models of low quality are expected to have strongly negative Z-scores for QMEAN but also for most of the contributing terms. Large negative values correspond to red regions in the color gradient. "Good structures" are expected to have all sliders in the light red to blue region.”</p>

Revision as of 09:00, 3 October 2016

tsPurple, purple chromoprotein

This chromoprotein (also known as TinselPurple) naturally exhibits strong purple color when expressed.

Usage and Biology

This part is useful as a reporter.

AmilCP and tsPurple.jpg

iGEM2013 Uppsala: The images above show E coli constitutively expressing the chromoproteins amilCP BBa_K592009 and tsPurple BBa_K1033906 from the high copy plasmid pSB1C3 from the promoters J23116 and J23110.


Sequence and Features


Assembly Compatibility:
  • 10
    COMPATIBLE WITH RFC[10]
  • 12
    COMPATIBLE WITH RFC[12]
  • 21
    COMPATIBLE WITH RFC[21]
  • 23
    COMPATIBLE WITH RFC[23]
  • 25
    COMPATIBLE WITH RFC[25]
  • 1000
    COMPATIBLE WITH RFC[1000]



Structure and SWISS MODEL Homology Modelling Report

(The following information is the contribution of SVCE_Chennai)

The following sections give a detailed information on this chromoprotein done by its in silico analysis.



3D Structure

Ts2.gif



Cartoon representation of tsPurple.

Ts purple swiss.png


QMEANnorm = 0.02
Cβ = -0.91
All Atom = 0.52
Solvation = -1.19
Torsion = 0.32


The best match during structure prediction.

Template Seq. Identity Oligo-state Found by Method Resolution Seq Similarity Range Coverage Description
4ohs.1.A 86.61 homotetramer HHblits X-Ray 2.19Å 0.58 2 - 222 0.98 FAR-RED FLUORESCENT PROTEIN AQ143


What about Ligands?

Ligand Added to Model Description
CL ✕ - Not biologically relevant. CHLORIDE ION
CL ✕ - Not biologically relevant. CHLORIDE ION
CL ✕ - Not biologically relevant. CHLORIDE ION



Plot 1 Tsp2.png


Plot 2 Tsp.png



Plot 3 Tsp3.png



Tsp4.png




Plot 1

The area built by the circles colored in different shades of grey in the plot on the left hand side represent the QMEAN scores of the reference structures from the PDB. The model's QMEAN score is compared to the scores obtain for experimental structures of similar size (model size +/- 10%) and a Z-score is calculated. A Z-score (or standard score) is a score which is normalised to mean 0 and standard deviation 1. Thus the QMEAN Z-score directly indicates how many standard deviations the model's QMEAN score differs from expected values for experimental structures. In analogy, Z-scores are calculated for all four statistical potential terms as well as the agreement terms being part of the QMEAN score.



Plot 2

The plot in the middle shows the density plot (based on the QMEAN score) of all reference models used in the Z-score calculation. The location of the query model with respect to the background distribution is marked in red. This plot basically is a "projection" of the first plot for the given protein size. The number of reference models used in the calculation is shown at the bottom of the plot.



Plot 3

The analysis of these Z-scores of the individual terms can help identifying the geometrical features responsible for an observed large negative QMEAN Z-score. Models of low quality are expected to have strongly negative Z-scores for QMEAN but also for most of the contributing terms. Large negative values correspond to red regions in the color gradient. "Good structures" are expected to have all sliders in the light red to blue region.”