Week 7 HW: Genetic Circuits Part II: Neuromorphic Circuits

Part 1:

What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions?

IANNs are great for analog computation, while also being scalable in deployment and useful for approximating functions.

Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal.

Disease diagnostics. Inputs would be expressions levels of biomarkers and signals deemed harmful. Outputs could be in the form of a gene with a strong signal or that is therapetic in nature. Strong limitations could come from unintended interactions with the output, as well as cross-talk generated. Noise within the biological system could affected outputs as well.

Part 2:

What are some examples of existing fungal materials and what are they used for? What are their advantages and disadvantages over traditional counterparts?

What might you want to genetically engineer fungi to do and why? What are the advantages of doing synthetic biology in fungi as opposed to bacteria?

I might genetically engineer fungi to eat waste products or grow as shielding or building material. In either case, the fungi can serve as a meaningful redesinging of the environment. Advantages of doing synthethic biology with fungi are at least three fold: A) you can perform unique protein modications and syntheses that you can’t yet easily do with bacteria, you can take advantage of more complex molecular regulatory systems within fungi, in some cases they may be more safely scalable, and you get easy “Last of Us” Jokes.

Part 3:

Objectives of this were as follows:

Review the Individual Final Project documentation guidelines.

Done

Submit this Google Form with your draft Aim 1, final project summary, HTGAA industry council selections, and shared folder for DNA designs.

In progress

Review Part 3: DNA Design Challenge of the week 2 homework. Design at least 1 insert sequence and place it into the Benchling/Kernel/Other folder you shared in the Google Form above. Document the backbone vector it will be synthesized in on your website.

This is TBA.