[aaavl2821]

How does it perform compared to any in house software at biotech companies? Or are the main users companies that specialize in making cell therapies / peptide vaccines and you just help them figure out which vaccines to make?

Am just interested bc i have a few friends involved in neoantigen / shared tumor antigen cell therapy companies, and did some consulting work for a company that had tech for delivering nucleic acid therapies and was considering getting into oncology, but didnt have in-house sequencing or antigen identification expertise. Mostly intellectual interest at this point

[chrisamiller]

The biggest difference between academic tools and those in industry is that they're sinking major funds into producing (expensive, hard to produce at scale) training data. That, in theory, should allow them to develop better algorithms for actually predicting which mutations in the tumor are going to be the best (immunogenic) targets. This tool, and several others like it, are modular enough to allow you to plug in whatever prediction algorithm you like, while still getting the benefit of all the other steps.