https://pages.htgaa.org/2026a/jenn-leung/homework/week-07-hw-genetic-circuits-part-ii/index.htmlWeek 7: Genetic Circuits Part II Assignment Part 1: Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? An artificual neuron is a weighted summation through an activation function that produces outputs, eventually they form networks to become ANN. Intracellular artificial networks still have weighted summation and a non-linear activation function, but we can consider implementing gene circuits as these activation functions. The main difference is that IANNs will have two inputs that can do addition and subtraction. On the one hand, a promoter that through transcription makes a gene, and through translation we create proteins, we can perform addition on this. To subtract, we can treat input x1 as an endoribonuclease CasE that will bind and cleaves the RNA on the sequence and produce output. x1 is negative weight and x2 is positve weight, where the function is max(x2-x1,0). This is also referred to as Sequestration. Sequestration involves using an endorribonucleus to transcribe into mRNA to produce non-linearity (applying single turnover enzyme to remove it out of circulation).Hugoen