We are no where close to being able to accurately predict protein folding and the activity of the resulting molcules. Protein folding is incredibly complex. I

We are no where close to being able to accurately predict protein folding and the activity of the resulting molcules. Protein folding is incredibly complex. Imagine a string of 1,000 beads, each bead being made up of 6 different magnets all with the poles aligned in a different orientation. Now predict if you suspended it in zero gravity, how would it fold upon itself? Pretty complex? Well, it gets more complex. Now add millions of smaller magnets (water molcules) to the mix, each of which can attach to each magnet on the beads. Some will block the interactions that drive folding, others will enhance it. Pretty complex? It gets more complex. Now add a mixture of other magnets, some small (ions) some large (small molecules or other proteins) to the mix. Some have a single magnet pole, others have dozens. Now predict the structure and the resulting binding sites. AI can do a decent job of predicting the macro folding of proteins, but fails when it comes to accurately predicting all of the inter- and intra-molecular interactions. And if you can't predict all the interactions, you can't accurately predict what the actual activity of the molecule will be. At best, AI can highlight potential protein structures that might have activity.