Coding

Part:BBa_K5271002

Designed by: Yin Yan Chan   Group: iGEM24_HKPOLYU   (2024-09-28)


EGFR-binding peptide -scrambled

A scrambled amino acid sequence that acts as a control for the EGFR binding region of the dual targeting nanobody -Panobody.


Profile

  • Name: EGFR-binding peptide -scrambled
  • Base Pairs: 372 bp
  • Amino acid: 124 a.a
  • Origin: Synthetic
  • Properties: A scrambled control for the dual targeting nanobody -Panobody.


Usage and Biology

The design of this basic part began with an in-house bioinformatics analysis. Based on the dry lab result, we chose EGFR and HER2 as the dual targets for our Biobrick design. We created a dual targeting nanobody -Panobody for EGFR and HER2. To verify our design, we used Alphafold to create a three-dimensional model of Panobody and its scrambled control, Panobody-scrambled. [Jumper et al., 2021] Subsequently, we perform a molecular docking analysis to examine the binding affinity of the scrambled control.



The molecular docking analysis of Panobody- scrambled showed that it forms crucial hydrogen bonds and salt-bridge interactions with key residues (Lys739, Val769, Asp770, Hie773, Lys823, and Thr847) of the EGFR receptor (Fig. 1b); however, the binding appears less reinforced, as hydrogen bonds are not as widespread or integrative as in the Panobody-EGFR complex.


picture-7.png
Figure 1. (a) 3D and 2D visualizations of molecular docking between the HER2 binding region of Panobody -scrambled the HER2 receptor. (b) 3D and 2D visualizations of molecular docking between the EGFR binding region of Panobody -scrambled and the EGFR receptor.


Design Note

Our preliminary results when it is joined with the HER2 nanobody by a linker, the linker should avoid cysteine residues since it potentially reduces the solubility of the dual targeting nanobody in prokaryotic expression system.


Source

The sequence of the EGFR-binding peptide -scrambled was randomly generated and had a same length with the EGFR binding region of Panobody.


Reference

  • Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., ... & Hassabis, D. (2021). Highly accurate protein structure prediction with AlphaFold. nature, 596(7873), 583-589.


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]


[edit]
Categories
//awards/basic_part
//proteindomain/binding
Parameters
None