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Alphafold3 never claimed to solve rna structure prediction though
Author made it clear this was an educational essay, but concluding the problem has very limited therapeutic applications comes across like a bit of a take down for Atomic AI's platform.
wow, what an awesome biochemistry blog

the post is easy to read - and yet there's wealth of information together with citations of science papers info comes from

I love how author researched and discusses opinions opposite of his too

perhaps most surprising was to learn that vaccine RNA differs from normal U-A-C-G memorized in school. One more piece of knowledge I can come back with to my teachers one day :)

OP, one small correction: the abbreviation of "long non-coding RNAs" is lncRNA (lowercase "L"), not "IncRNA".
My rotation project in the Church lab was on structure prediction for bacterial T-box riboswitches (the goal was to classify which tRNA was recognized by the riboswitch; fortunately we only needed to predict the secondary structure for this goal). Even these were rather difficult to model. We looked into deep learning methods but ended up going with a HMM approach due to lack of structural data. And of course, these are ribo switches, which change structure upon ligand binding.

So it's very cool to see the progress that has been made since 2020.