Nour Abdelrahman — HTGAA Spring 2026
About me
Hello! I’m interested in genetically engineering microrganisms for treating neurodegenerative diseases
Hello! I’m interested in genetically engineering microrganisms for treating neurodegenerative diseases
Week 1 HW: Principles and Practices
Describe a biological engineering application or tool you want to develop and why. Virus Hunting The usage of virus hunting to discover viruses in animal populations that might become a pandemic and exploit it as a gene therapy tool. first of all the viruses are isolated from hosts of interest, then sequencing their genome, then characterize the virus. Following steps will be:
Week 2 HW: DNA Read, Write and Edit
Part 0: Attend or watch all lecture and recitation videos. Part 1: Benchling & In-silico Gel Art Make a free account at benchling.com Import the Lambda DNA. Simulate Restriction Enzyme Digestion with the following Enzymes: EcoRI HindIII BamHI KpnI EcoRV SacI SalI Create a pattern/image in the style of Paul Vanouse’s Latent Figure Protocol artworks. I imagine the pattern as a hand making number one Part 3: DNA Design Challenge Choose your protein. I chose tau protein that it’s hyperphosphorylation is involved in Alzheimer’s disease progression I chose UniProt to get its sequence Reference: https://rest.uniprot.org/uniprotkb/P10636.fasta
Python Script for Opentrons Artwork I chose to make the egyptian beetle inspiration artistic design using the GUI link: https://opentrons-art.rcdonovan.com/?id=1xb86617h0wq061
The usage of virus hunting to discover viruses in animal populations that might become a pandemic and exploit it as a gene therapy tool. first of all the viruses are isolated from hosts of interest, then sequencing their genome, then characterize the virus. Following steps will be:
Disocvering potential pandemic pathogens early will prevent its outbreak and prepare us well.
Biosafety and biosecurity aims to prevent loss, theft and misuse of highconsequence material. This can be done by providing and implementing risk control measures that address the risks associated with conducting high-consequence research and working with high-consequence material, including other biosecurity-relevant material.
The intrinsic risks of working with biological agents are not only of a biosafety nature, such as exposure or unintentional release, but also of biosecurity, which includes the theft, misuse, or intended release of biological material.
| Does the option: | Authorizing Board | Biological Materials Disposal | Funds |
|---|---|---|---|
| Enhance Biosecurity | |||
| • By preventing incidents | 1 | 2 | 3 |
| • By helping respond | 1 | 2 | 3 |
| Foster Lab Safety | |||
| • By preventing incident | 2 | 1 | 3 |
| • By helping respond | 1 | 2 | 3 |
| Protect the environment | |||
| • By preventing incidents | 2 | 1 | 3 |
| • By helping respond | 1 | 2 | 3 |
| Other considerations | |||
| • Minimizing costs and burdens to stakeholders | 2 | 3 | 1 |
| • Feasibility? | 1 | 2 | 3 |
| • Not impede research | 2 | 1 | 3 |
| • Promote constructive applications | 3 | 2 | 1 |
Based on the scores:
Hunting for the next pandemic virus (no date) ASM.org. Available at: https://asm.org/magazine/2022/fall/hunting-for-the-next-pandemic-virus
Vaidyanathan, G. (2011) ‘Virus hunters: Catching bugs in the field’, Cell, 147(6), pp. 1209–1211. doi:10.1016/j.cell.2011.11.037.
World Health Organization. Available at: https://iris.who.int/



Reference: https://rest.uniprot.org/uniprotkb/P10636.fasta
atggcggaaccgcgccaggaatttgaagtgatggaagatcatgcgggcacctatggcctg ggcgatcgcaaagatcagggcggctataccatgcatcaggatcaggaaggcgataccgat gcgggcctgaaagaaagcccgctgcagaccccgaccgaagatggcagcgaagaaccgggc agcgaaaccagcgatgcgaaaagcaccccgaccgcggaagatgtgaccgcgccgctggtg gatgaaggcgcgccgggcaaacaggcggcggcgcagccgcataccgaaattccggaaggc accaccgcggaagaagcgggcattggcgataccccgagcctggaagatgaagcggcgggc catgtgacccaggaaccggaaagcggcaaagtggtgcaggaaggctttctgcgcgaaccg ggcccgccgggcctgagccatcagctgatgagcggcatgccgggcgcgccgctgctgccg gaaggcccgcgcgaagcgacccgccagccgagcggcaccggcccggaagataccgaaggc ggccgccatgcgccggaactgctgaaacatcagctgctgggcgatctgcatcaggaaggc ccgccgctgaaaggcgcgggcggcaaagaacgcccgggcagcaaagaagaagtggatgaa gatcgcgatgtggatgaaagcagcccgcaggatagcccgccgagcaaagcgagcccggcg caggatggccgcccgccgcagaccgcggcgcgcgaagcgaccagcattccgggctttccg gcggaaggcgcgattccgctgccggtggattttctgagcaaagtgagcaccgaaattccg gcgagcgaaccggatggcccgagcgtgggccgcgcgaaaggccaggatgcgccgctggaa tttacctttcatgtggaaattaccccgaacgtgcagaaagaacaggcgcatagcgaagaa catctgggccgcgcggcgtttccgggcgcgccgggcgaaggcccggaagcgcgcggcccg agcctgggcgaagataccaaagaagcggatctgccggaaccgagcgaaaaacagccggcg gcggcgccgcgcggcaaaccggtgagccgcgtgccgcagctgaaagcgcgcatggtgagc aaaagcaaagatggcaccggcagcgatgataaaaaagcgaaaaccagcacccgcagcagc gcgaaaaccctgaaaaaccgcccgtgcctgagcccgaaacatccgaccccgggcagcagc gatccgctgattcagccgagcagcccggcggtgtgcccggaaccgccgagcagcccgaaa tatgtgagcagcgtgaccagccgcaccggcagcagcggcgcgaaagaaatgaaactgaaa ggcgcggatggcaaaaccaaaattgcgaccccgcgcggcgcggcgccgccgggccagaaa ggccaggcgaacgcgacccgcattccggcgaaaaccccgccggcgccgaaaaccccgccg agcagcggcgaaccgccgaaaagcggcgatcgcagcggctatagcagcccgggcagcccg ggcaccccgggcagccgcagccgcaccccgagcctgccgaccccgccgacccgcgaaccg aaaaaagtggcggtggtgcgcaccccgccgaaaagcccgagcagcgcgaaaagccgcctg cagaccgcgccggtgccgatgccggatctgaaaaacgtgaaaagcaaaattggcagcacc gaaaacctgaaacatcagccgggcggcggcaaagtgcagattattaacaaaaaactggat ctgagcaacgtgcagagcaaatgcggcagcaaagataacattaaacatgtgccgggcggc ggcagcgtgcagattgtgtataaaccggtggatctgagcaaagtgaccagcaaatgcggc agcctgggcaacattcatcataaaccgggcggcggccaggtggaagtgaaaagcgaaaaa ctggattttaaagatcgcgtgcagagcaaaattggcagcctggataacattacccatgtg ccgggcggcggcaacaaaaaaattgaaacccataaactgacctttcgcgaaaacgcgaaa gcgaaaaccgatcatggcgcggaaattgtgtataaaagcccggtggtgagcggcgatacc agcccgcgccatctgagcaacgtgagcagcaccggcagcattgatatggtggatagcccg cagctggcgaccctggcggatgaagtgagcgcgagcctggcgaaacagggcctg
Reference https://www.bioinformatics.org/sms2/rev_trans.html
GC=59.89%, CAI=0.90
ATGGCGGAACCGCGCCAGGAGTTCGAAGTGATGGAAGATCATGCGGGCACCTATGGCCTGGGCGATCGTAAAGATCAGGGCGGCTACACGATGCATCAGGATCAGGAAGGCGATACCGATGCAGGCCTGAAAGAAAGCCCGCTGCAGACCCCGACCGAAGATGGTAGCGAAGAACCGGGCAGCGAAACCAGCGATGCGAAAAGCACCCCGACCGCCGAAGATGTTACCGCCCCTTTAGTGGATGAAGGCGCGCCGGGCAAACAGGCGGCGGCCCAGCCGCATACCGAAATTCCGGAAGGCACGACCGCGGAAGAAGCGGGCATTGGCGATACCCCGAGCCTGGAAGATGAAGCAGCGGGTCACGTGACCCAGGAACCGGAAAGCGGCAAAGTTGTGCAGGAAGGCTTTCTGCGCGAGCCGGGACCGCCCGGCCTGAGCCATCAACTGATGAGCGGCATGCCGGGTGCGCCGTTACTGCCGGAAGGCCCGCGCGAAGCCACCCGCCAGCCGAGCGGCACGGGCCCGGAAGATACCGAAGGCGGCCGTCATGCGCCGGAACTGCTGAAACATCAGCTGCTGGGCGATCTGCATCAGGAAGGCCCGCCGCTGAAAGGCGCGGGTGGCAAAGAACGTCCGGGCAGCAAAGAAGAAGTGGATGAAGATCGTGATGTGGATGAAAGCAGCCCGCAGGATAGCCCGCCGAGCAAAGCCAGCCCGGCCCAGGATGGCCGTCCGCCGCAAACCGCGGCACGTGAAGCCACCTCAATTCCGGGCTTCCCGGCGGAAGGCGCGATTCCGCTGCCGGTGGATTTCCTGAGCAAAGTGAGCACCGAAATTCCGGCGAGCGAACCGGATGGCCCGAGCGTGGGTCGCGCCAAAGGCCAGGATGCGCCGCTGGAATTCACCTTTCATGTGGAAATTACCCCGAACGTGCAGAAAGAACAGGCGCATAGCGAAGAGCATCTGGGACGCGCGGCCTTTCCGGGCGCGCCGGGTGAAGGTCCGGAAGCGCGCGGTCCGTCTCTGGGCGAAGATACGAAAGAAGCGGATCTGCCGGAACCGAGCGAAAAACAGCCGGCGGCGGCGCCGCGCGGTAAACCGGTGAGCCGCGTTCCGCAACTGAAAGCGCGCATGGTTTCGAAATCAAAAGATGGCACGGGCAGCGACGATAAAAAAGCCAAAACCAGCACCCGCAGCAGTGCCAAAACCCTGAAAAACCGCCCGTGCCTGAGCCCGAAACATCCGACGCCGGGCAGCAGCGATCCGCTGATTCAGCCGAGCTCTCCGGCGGTTTGTCCTGAACCGCCGTCAAGTCCGAAATATGTTAGCAGCGTTACCAGCCGCACCGGCTCAAGCGGCGCCAAAGAAATGAAACTGAAAGGTGCCGATGGTAAAACTAAAATTGCGACCCCGCGCGGCGCGGCCCCGCCGGGCCAGAAAGGCCAGGCGAACGCAACCCGCATTCCGGCGAAAACCCCGCCGGCGCCGAAAACCCCGCCGAGTTCAGGTGAACCGCCGAAAAGCGGCGATCGCTCAGGCTATAGTAGCCCGGGCAGCCCGGGGACCCCGGGCAGCCGTTCACGTACCCCGAGCCTGCCGACCCCGCCGACTCGTGAACCGAAAAAAGTCGCCGTGGTACGCACCCCGCCGAAAAGCCCGTCGTCGGCGAAAAGCCGCCTGCAGACCGCGCCGGTTCCGATGCCGGATCTGAAAAATGTGAAAAGCAAAATTGGCTCTACCGAAAACCTGAAACACCAGCCGGGAGGCGGCAAAGTGCAAATCATTAATAAAAAACTGGATCTGTCAAACGTGCAATCAAAATGCGGTTCGAAAGATAACATTAAACATGTTCCGGGTGGCGGCTCGGTGCAGATTGTGTATAAACCCGTGGATCTGAGCAAAGTTACCTCGAAGTGTGGATCTCTGGGCAATATCCATCATAAACCGGGCGGCGGCCAGGTTGAAGTTAAATCTGAAAAACTGGATTTTAAAGATCGCGTGCAGAGCAAAATTGGCAGCCTGGATAATATCACCCATGTGCCGGGCGGCGGCAACAAAAAAATTGAAACCCATAAACTGACCTTTCGCGAAAATGCCAAAGCGAAAACCGATCACGGTGCGGAAATTGTTTATAAAAGCCCGGTTGTTAGCGGTGATACGAGCCCGCGTCATCTGTCGAACGTTAGCTCAACCGGTAGCATTGATATGGTGGATAGCCCGCAACTGGCGACGCTGGCCGATGAAGTGTCGGCGTCCCTGGCGAAACAGGGTCTG
Reference: https://en.vectorbuilder.com/tool/codon-optimization/6781bd12-7b93-4071-a97a-e6f9b8f17287.html
Sharing link in Benchling: https://benchling.com/s/seq-LWrWyNWwQivMCCt0o4Ra?m=slm-qbMaWSkeMRm5NZ7JzEJw

after uploading the sequence in twist, I optimized it more in twist
sharing link after exporting to benchling https://benchling.com/s/seq-wNOy6J9WVuWzZ1i4URkY?m=slm-Gj8tRUDvFaVLFxjZZbbn
image of the constructed plasmid

I chose to make the egyptian beetle
inspiration
artistic design using the GUI

link: https://opentrons-art.rcdonovan.com/?id=1xb86617h0wq061
then I wrote the Python script which draws my design using the Opentrons.

google colab link: https://colab.research.google.com/drive/1O8__PXIf_-nn57BUFKG7b7a9N-xvNoNj?authuser=2#scrollTo=pczDLwsq64mk&line=1&uniqifier=1