Difference between revisions of "Part:BBa K4165232"
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This biobrick consists of T7 promotor (BBa_K3633015), RBS (BBa_K4165016), GST (BBa_K4165070), COH2 (BBa_K4165003), G4S linker (BBa_K4165068), TD28REV (BBa_K4165006), Terminator (BBa_K731721), The GST tag was attached to the (COH2-Linker-TD28REV) coding sequence to serve in the purification using Glutathione resin column.  
 
This biobrick consists of T7 promotor (BBa_K3633015), RBS (BBa_K4165016), GST (BBa_K4165070), COH2 (BBa_K4165003), G4S linker (BBa_K4165068), TD28REV (BBa_K4165006), Terminator (BBa_K731721), The GST tag was attached to the (COH2-Linker-TD28REV) coding sequence to serve in the purification using Glutathione resin column.  
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===Source===
 
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synthesized
 
  
 
===Usage and Biology===
 
===Usage and Biology===
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The main function is the binding of the tau-binding peptide with the Cohasin protein. It has been used in this project to target and degrade both tau and Aβ proteins which are both considered the main causes of Alzheimer’s Disease pathogenesis.
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The main function is the binding of the tau-binding peptide with the Cohasin protein. It has been used the project to target and degrade both tau and Aβ proteins which are both considered the main causes of Alzheimer’s Disease pathogenesis.
  
 
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<partinfo>BBa_K4165232 SequenceAndFeatures</partinfo>
 
<partinfo>BBa_K4165232 SequenceAndFeatures</partinfo>
  
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===Dry lab===
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===Modeling===
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<p style=" font-weight: bold; font-size:14px;"> Modeling </p>
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For 2 Models with a score of 5 out of 6 and among  11 Models, we choose our best-ranked model according to its score of 5 out of 6 Q Mean_4 value. Our model values :  
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For 2 Models with has score of 5 out of 6 and among  11 Models, we choose our best-ranked model according to its score of 5 out of 6 Q Mean_4 value. Our model values :  
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C Beta deviation = 1 , clash score = 2.74 , molprobity = 1.22 , Ramachandran favored = 97.11 , Ramachandran Outlier = 0.52 , Q Mean_4 = 1.96 , Q Mean_6 = 1.88
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<html>
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<style>
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table, th, td {
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  border:1px solid black; margin-left:auto;margin-right:auto;
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}
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</style>
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<body>
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<table style="width:65%">
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<table>
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  <tr>
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    <th>cbeta_deviations</th>
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    <th>clashscore</th>
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    <th>molprobity</th>
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    <th>ramachandran_favored</th>
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    <th>ramachandran_outliers</th>
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    <th>Qmean_4</th>
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    <th>Qmean_6</th>
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  </tr>
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  <tr>
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    <td>1</td>
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    <td>2.74</td>
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    <td>1.22</td>
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    <td>97.11</td>
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    <td>0.52</td>
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    <td>1.96</td>
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    <td>1.88</td>
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  </tr>
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</table>
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</body>
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</html>
  
 
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                     Figure 1. The 3D structure of the COH-linker-TD28rev model visualized by Pymol.
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                     Figure 1. The 3D structure of the COH-linker-TD28rev model Displayed on Pymol.
  
 
<p style=" font-weight: bold; font-size:14px;"> Mathematical modeling </p>
 
<p style=" font-weight: bold; font-size:14px;"> Mathematical modeling </p>
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                     Figure 2. this figure shows the results from the transcription and translation code showing the  
 
                     Figure 2. this figure shows the results from the transcription and translation code showing the  
 
                       variation of mRNA and protein concentrations with time compared with the wet lab results.
 
                       variation of mRNA and protein concentrations with time compared with the wet lab results.
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===WetLab Results===
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<p style=" font-weight: bold; font-size:14px;"> Comparison between the mathematical model of dry lab and the wey lab results of GST COH TD28 Rev using chemical lysis and sonicator </p>
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We have made a statistical analysis (t-test) to investigate the mathematical model's effectiveness in predicting the amount of the produced protein due to IPTG induction, whereas the test compares the mathematical model expected results to the replicates made in the induction experiment, given that all the condition of the experiment has been input to the model generating the predicted results.
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<html>
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<p><img src="https://static.igem.wiki/teams/4165/wiki/data-analysis/tir-wet-expression/coh2-td28rev-chem.jpg" style="margin-left:200px;" alt="" width="500" /></p>
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</html>
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                Figure 3. This graph shows that the mathematical model of the dry lab and the wet lab results of GST COH
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                TD28Rev using chemical lysis doesn't correlate with each other as there is a great difference between the
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                two results, as the P-value is found to be <0.001.
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<html>
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<p><img src="https://static.igem.wiki/teams/4165/wiki/data-analysis/tir-wet-expression/coh2-td28rev-son.jpg" style="margin-left:200px;" alt="" width="500" /></p>
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</html>
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                Figure 4. This graph shows that there is a correlation between the mathematical model of the dry lab and the
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                                          wet lab results of GST COH TD28Rev using sonicator
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Latest revision as of 23:43, 13 October 2022


(GST) COH2-linker(G4S)-TD28REV

This biobrick consists of T7 promotor (BBa_K3633015), RBS (BBa_K4165016), GST (BBa_K4165070), COH2 (BBa_K4165003), G4S linker (BBa_K4165068), TD28REV (BBa_K4165006), Terminator (BBa_K731721), The GST tag was attached to the (COH2-Linker-TD28REV) coding sequence to serve in the purification using Glutathione resin column.

Usage and Biology

The main function is the binding of the tau-binding peptide with the Cohasin protein. It has been used the project to target and degrade both tau and Aβ proteins which are both considered the main causes of Alzheimer’s Disease pathogenesis.

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
    INCOMPATIBLE WITH RFC[1000]
    Illegal BsaI.rc site found at 45
    Illegal SapI.rc site found at 189

Modeling

For 2 Models with a score of 5 out of 6 and among 11 Models, we choose our best-ranked model according to its score of 5 out of 6 Q Mean_4 value. Our model values :

cbeta_deviations clashscore molprobity ramachandran_favored ramachandran_outliers Qmean_4 Qmean_6
1 2.74 1.22 97.11 0.52 1.96 1.88 


                   Figure 1. The 3D structure of the COH-linker-TD28rev model Displayed on Pymol.

Mathematical modeling

Transcription rate and translation rate under T7 promotor

the mathematical modeling was based on our code for the calculation of transcription and translation (you can find it in the code section) beside with the estimated results from the wet lab. 

                   Figure 2. this figure shows the results from the transcription and translation code showing the 
                     variation of mRNA and protein concentrations with time compared with the wet lab results.

WetLab Results

Comparison between the mathematical model of dry lab and the wey lab results of GST COH TD28 Rev using chemical lysis and sonicator

We have made a statistical analysis (t-test) to investigate the mathematical model's effectiveness in predicting the amount of the produced protein due to IPTG induction, whereas the test compares the mathematical model expected results to the replicates made in the induction experiment, given that all the condition of the experiment has been input to the model generating the predicted results. 

                Figure 3. This graph shows that the mathematical model of the dry lab and the wet lab results of GST COH 
                TD28Rev using chemical lysis doesn't correlate with each other as there is a great difference between the 
                two results, as the P-value is found to be <0.001.


               Figure 4. This graph shows that there is a correlation between the mathematical model of the dry lab and the 
                                          wet lab results of GST COH TD28Rev using sonicator