Yeah, thanks. So a couple of comments I'll make. Really we -- at the core of our technology is what we call biological intelligence, right. And that's based in a foundation really that antibodies generated in vivo are superior from other sources largely because they're naturally optimized through an iterative process that preferentially selects antibodies with excellent specificity and developability profiles, right. And that ability of the immune system of our engineered transgenic animals is something we've been uniquely positioned to do, but also is developed over millions and millions of years of evolution, right. So those optimized antibodies, and the ability of our animals to do that is what we call biological intelligence. This approach really increases efficiency and probability of success. It's what drives a lot of partners to us. And we believe it also helps limit the attrition of antibody candidates in the clinic. That said, we obviously leverage in silico tools here all the time, right, spread across our three scientific sites here in Emeryville, in Tucson, Arizona, where we have a dedicated in silico team with a long history of modeling and structural modeling, and a whole host of other capabilities, as well as our team in Durham, North Carolina. So I think it may be a little under appreciated that here for many years, we've built up a suite of in silico tools for therapeutic antibody discovery and optimization that are really woven through and paired with our technologies. These two tools are, as I said, structural modeling, but they're paired with large multi species, antibody databases. And that's a really key part. If you've been through as many programs as we have over many years, deep collaborations with partners. And we then use that and we also leverage AI and machine learning here as well. And that is something else that I think our partners value, may not be as well known that we do that because to us, it's good science, you weave it together. But unless you've got that biological intelligence source that was built over millions of years of evolution, those tools are hindered without that. We obviously leverage that as well. And we're proud of the fact that that we advanced programs for our partners, pairing those internal capabilities, obviously with our novel transgenic animals.