Cool. Could we train a "potential oncoprotein" classifier on Orthrus embeddings? IMO self serve diagnosis and detection is a far larger market than synthesis.
This is a really interesting direction. There is this big field of Cell Free (cfRNA) cancer detection. We talked to a few people in the field and think that embedding sequences for this direction could be really valuable. One challenge here is that it's hard to set up evaluation tasks since the public data is scarce
Maybe we can crowd source data. My platform, currently in beta, has ai assistants for compute infrastructure and biology and will soon let people to do self serve research on their own omics data using models like yours. So there could be a monetization path too if enough people start looking their own cell data (which they might once they fully understand the risks of engineered pathogens, and certainly will when the risks materialize and start hitting home). Email in bio if you want to brainstorm.
antichronology|6 months ago
carlsborg|6 months ago