DNA is a form of code, but it doesn't encode programs. Instead, like an STL or STEP file it encodes HARDWARE designs. While you could think of it as encoding infrastructure AND code (as in IaS) you'd need to go beyond that to include the hardware for computing AND physical function (like a whole car + computer) in that conception, which is not what IaS means. The hardware side of DNA is easy to overlook since we don'…
BTW: protein structure prediction didn't need supercomputers (in the traditional sense) and the PSP problem wasn't solved using supercomputers applying a high quality physics function to simulate folding- instead, it was solved using a combination of ML supercomputers, a really good algorithm (transformers), and a couple of really good data sets- the known structures of proteins, and the known relationship of proteins.
Instead of simulation on a huge supercomputer so they could predict a single strucfture, they trained a model which approximates structure well enough to beat every competitor. From what I can tell, most of the resulting quality doesn't come from their force field but from the distance constraints that are mostly derived from historical relationships between proteins, and the coevolution of their sequences.