#nphard #quantum ## mRNA codon optimisation [[Quantum Use Cases MoC]] - find specific workloads that hit scalability and complexity walls with traditional architectures and approaches eg. genetic algorithms ##### the problem Finding the right combination of 6 codons that each amino acid in a protein sequence can be represented by This can have a large impact on downstream processes such as protein folding and function, which is important for use cases including recombinant protein therapies Classical approaches such as genetic algorithms can be highly performant here ###### The limiting aspect - the fraction of solution space that is sampled in a fixed number of iterations decreases exponentially as the polypeptide chain length grows. - thorough sampling of the solutions space is therefore often intractable with biologically relevant use cases