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Re:What DeepMind’s AlphaFold 2 really achieved (2020) by twanvl on Monday July 12, 2021 @08:33AM (#27809585)
An important input to this (and similar) algorithms is multiple sequence alignment, which tells the algorithm which parts of proteins are preserved between species and variants, and which amino-acids mutate together. So already it is relying on natural selection to do some of the work. And the algorithm will probably not work very well if you input a random sequence not found in nature and ask it to find the folding.
Re:What DeepMind’s AlphaFold 2 really achieved (2020) by haihaibye on Monday July 12, 2021 @07:33PM (#27816308)
I hope not, as knowing how a novel mutation in a patient alters a protein would be extremely useful when trying to find disease causing variants.