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The forward folding problem lets you determine structures from a known genetic sequence. So for example you could very quickly sequence the genome of a virus and figure out how it worked much faster than current methods allow.

The reverse folding problem lets you specify a structure and then make a genetic sequence to produce it. For example you could look at this virus to see how it infects its host, then design a custom protein to act as an anti-body stopping it, which is a capability we don't currently have.

Forward folding is certainly useful, but reverse folding would be revolutionary.



The set of all proteins which can potentially be expressed in an organism is known. Now maybe we also get decent (static) structure information for these. But the interaction of a virus with the host cell is much more complex. There is much more than just an amino acid sequence involved. And these parts are all moving, so a static picture as we now can create faster than before does not contain all the information necessary to fully understand the functions.


>The set of all proteins which can potentially be expressed is known.

Sure, "known", but it's on the order of 20^10000. It won't fit in the entire visible volume of the universe.


No, the genome of the host is much smaller than the theoretical number of combinations. There are about 20 to 30k different proteins in a human cell (about 20k directly encoded on the DNA).


If you are designing proteins, you're not limited to those that are already encoded in the host's DNA.


Right, but you made the example with the virus docking at a known organism. If you do synthetic biology and modify bacteria to produce any proteins then the situation is different of course.


Precisely why I referred to it as a different and harder problem


There are a lot of different harder problems.


So?




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