Recently AlphaFold2 released a new batch of models, this time covering all of the Trembl sequences in Uniprot, resulting in a huge number, which got hashtag-academic-twitter and some news editors very excited for the stamp-collecting feat. Personally, I find it annoying, not because it's pointless, but as of writing this, it has made any search for a target by name swamped by irrelevant sequences.
However, AlphaFold is great for other feats.
I have blogged about it a few times (e.g. link), which gives away my positive view of it! It can predict oligomers, with a lot more precision and confidence than docking. It does not always work either technically or meet the hypothesis. I did a long series of experiments with a hypothesis in mind which wasn't valid in the end (here), but revealed novel science and took a few minutes to set up and a few hours to run, which would have taken years if done by Western blot of a co-immunoprecipitation or cross-linking mass-spec.
