...well...this is frustratingly brilliant....
So why we're all messing around trying to figure out how to do a better job deep learning endogenous peptides, this group decided to just cut out the middle of the plan completely.
This system relies on using E.coli to generate the peptides that you think are there which can be directly informed from your genomics data - to actually make the endogenous peptides that you might be able to see - if they are there. Double dash!
Then you can have the real spectral libraries for that mutant form that would be really super amazingly cool to see on the surface of that cancer cell. If it is there you see it by mass spec and then you can design a CAR(R)-T thingamabob or immunotherapeutic whatchamacallit to those cells.
For real, just intimidatingly shockingly clever, because it really seems super obvious once you get 3 pages into it. Not that I could have pulled it off (please see thingamabobs above and genetic expressoin in little poop bacteria seems like weird magic these days), but it does seem like someone should have thought of it.
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