Difference between revisions of "Part:BBa K4165030"

Revision as of 15:30, 12 October 2022

HtrA1 switch 10

This composite part consists of T7 promoter (BBa_K3633015), lac operator (BBa_K4165062), pGS-21a RBS (BBa_K4165016), 6x His-tag (BBa_K4165020), H1A peptide (BBa_K4165000), GGGGSG (BBa_K4165017), TD28rev (BBa_K4165006), GGSGGGG (BBa_K4165018), WWW (BBa_K4165007), SPINK8 inhibitor (BBa_K4165010) and T7 terminator (BBa_K731721).

Usage and Biology

Switch 10 is used to mediate the activity of HTRA1. It is composed of 3 parts connected by different linkers; an HtrA1 PDZ peptide, a clamp of two targeting peptides for tau or amyloid beta, and a catalytic domain inhibitor. Activating HTRA1 requires a conformational change in the linker, eliminating the attached inhibitor from the active site. The conformational rearrangement can be mediated through the binding of affinity clamp to tau or beta-amyloid. This binding will result in a tension that detaches the inhibitor from the active site.

The TD28REV and WWW peptides which are considered as tau binding peptides are proved experimentally to bind with tau inhibit the aggregations of tau aggregations respectively. The H1A peptide was also proven to bind with the PDZ of HtrA1 experimentally. The last part which is the inhibitor which is mainly a serine protease inhibitor, and since our protease is a serine protease, so it will act and inhibit the Protein. The whole construction was similarly proved from literature.

Dry Lab

Modeling

The switch was modeled by (Alphafold - Rosettafold - tRrosetta) and the top model was obtained from tRrosseta with a score of 5 out of 6 according to our quality assessment code.

                 Figure 1. The 3D structure of switch 10 protein Visualized by Pymol. Red: Tau binding peptides, 
                                     blue: H1A peptide, cyan: inhibitor, and green: linkers

Docking

switch 10 vs HtrA1 trimer:

ΔG = -20.041

                          Figure 2. The 3D structure of switch 10 docked to HtrA1 Visualized by Pymol

Mathematical modeling

Transcription rate and translation rate

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 3. this figure shows the results from the transcription and translation code showing the 
                                      variation of mRNA and protein concentrations.

References

1. Goedert, M., & Spillantini, M. G. (2017). Propagation of Tau aggregates. Molecular Brain, 10. https://doi.org/10.1186/s13041-017-0298-7

2. Etienne, M. A., Edwin, N. J., Aucoin, J. P., Russo, P. S., McCarley, R. L., & Hammer, R. P. (2007). Beta-amyloid protein aggregation. Methods in molecular biology (Clifton, N.J.), 386, 203–225. https://doi.org/10.1007/1-59745-430-3_7

4. Seidler, P., Boyer, D., Rodriguez, J., Sawaya, M., Cascio, D., Murray, K., Gonen, T., & Eisenberg, D. (2018). Structure-based inhibitors of tau aggregation. Nature chemistry, 10(2), 170. https://doi.org/10.1038/nchem.2889

5. Romero-Molina, S., Ruiz-Blanco, Y. B., Mieres-Perez, J., Harms, M., Münch, J., Ehrmann, M., & Sanchez-Garcia, E. (2022). PPI-Affinity: A Web Tool for the Prediction and Optimization of Protein–Peptide and Protein–Protein Binding Affinity. Journal of Proteome Research.

6. Protease-based synthetic sensing andsignal amplification