It is curious what the relationship is. The Alpha-Fold is an algorithm that computes the shape give a peptide sequence. This is a bit wider, in that it finds a form corresponding to a function.
LC On Friday, September 16, 2022 at 12:04:19 PM UTC-5 [email protected] wrote: > AlphaFold solved the protein folding problem some time ago and now, > judging from two articles in today's issue of the journal Science, it looks > like the inverse problem has also been solved, the protein design problem. > If you tell a program called "ProteinMPNN" that you want a 3-D protein that > has an activation site that will perform a very specific function, and has > the proper scaffolding to keep that activation site stable, and is also > shaped in just the right way so that it can fit into a very tight corner > where it is needed like a key into a lock, then ProteinMPNN will tell you > what linear sequence of amino acids will fold up into that 3-D shape. I > think this is a very big deal, the implications for medicine are obvious > but it also signifies a huge advance in Nanotechnology because the > authors claim the 3-D shape the sequence of amino acids folds up into is > within 0.06 Nanometers of the requested shape, and Nanotechnology is about > placing atoms exactly where you want them to go, and enzymes are proteins > and they act like little machines. > > Robust deep learning–based protein sequence design using ProteinMPNN > <https://www.science.org/doi/10.1126/science.add2187> > > Hallucinating symmetric protein assemblies > <https://www.science.org/doi/10.1126/science.add1964> > > John K Clark > > > > > -- You received this message because you are subscribed to the Google Groups "Everything List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/everything-list/76f24bd0-d919-4524-9ef0-6424a2ab35c9n%40googlegroups.com.
