The model is not based on DALL-E, rather it is a simple masked auto-encoder trained unsupervised with tons of protein data. On top there is another transformer trained with supervised 3D data to generate the spatial representation.
<i>Having solved nearly all protein structures known to biology,</i><p>As a biologist, “hahaha……no”.<p>The AI might have solved structures according to the rules it’s been told, but are they accurate with what happens in reality?<p>No.
Is anyone working on making transformers useful for these problems: routing the tracks in a PCB or IC layout, or drawing graphs nicely so that humans can understand them better?
A lot of fantasy in this thread. No wonder ridiculous stories about "gain of function covid" is so popular on this website. Biology is a lot more complicated than you can ever imagine. A grad student will not make a species ending virus because organisms have been exposed to them since the dawn of time.
This is the real AI threat. Soon it will be all too easy to engineer novel viral proteins hardened against all known drugs with lethal consequences. You’ll just have to have faith that there’s no deranged grad student out there with genocidal intentions.