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#virus#https#human#effects#experiment#predictions#map#mutations#half#harmful

Discussion (7 Comments)Read Original on HackerNews

BigTTYGothGFβ€’about 3 hours ago
Meanwhile someone went and did the experiment on the equivalent problem in a virus: https://www.science.org/content/blog-post/mutate-em-all-and-...
adrian_bβ€’about 1 hour ago
And various dedicated AI models all made poor predictions of the results of that experiment, which casts doubts about the value of the AlphaGenome predictive map.

A virus is much simpler than a human, but even for that simple virus the effects of most of the mutations could not be predicted. A half of the mutations had harmful effects, and for a half of those it is unknown for now why they were harmful.

For a human the uncertainty about the effects of a mutation will be far greater than for one of the simplest viruses.

jendersβ€’41 minutes ago
If you like that abstract geometric headline image, you might also like the source artist their model β€œlearned” it from: https://leegriggs.com/xgen-rendered-with-arnold-for-maya
hn1rig3rakβ€’about 2 hours ago
the catch with a genome-wide map is the benchmark labels came from conservation, so you can't tell prediction from re-reading the prior.
bonsai_spoolβ€’about 1 hour ago
> benchmark labels came from conservation

And from human disease...?

thelaxiankeyβ€’about 1 hour ago
this is literally not possible. while I'm excited for these kinds of things, alphafold is already imperfect, and this basically side-steps actual structural predictions. it sounds good, but frankly biology is not there yet. in practice not even alpha fold can tell me if my gfp fusion will work...
ChrisArchitectβ€’about 2 hours ago