John Nicols
Analyst · Stephens. Please proceed, sir.
Yes. Okay, great. We're super excited about the gene therapy prospects for Codexis. And clearly, they're being validated in the partnership with Takeda. But what we do is basically, if you understand how gene therapy products are designed. Effectively, there's a delivery vector, often referred to as viral vectors that are basically packages for nucleic acid information to be packaged within. And that viral vector then delivers the nucleic acid information into the human biology to effect - to improve disease conditions. What we do is we use CodeEvolver to improve that nucleic acid information, this nucleic asset information inside the viral vector package. This commonly referred to as a transgene, some companies call it as the gene therapy payload. But what we're using CodeEvolver to do is to say, what is the optimal nucleic acid information that will express the best possible enzyme to deliver it to the human biology. So there's the word. I mean, we know how enzymes are expressed in human biology, you code DNA to express the enzyme so the nucleic acid information, i.e., DNA is then modified to express a modified, better performing protein. And so in the Fabry program, for example, we have modified the DNA nucleic acid inflammation to express a protein that has better half-life, better serum stability. We demonstrated better uptake in critical tissue like the heart, and that now takes you right back to the core CodeEvolver technology capability, making, designing better enzymes. And in the case of gene therapy, we design them and deliver them as nucleic acid information as a transgene or a payload in gene therapy. So hopefully, that's helpful and is understandable. So we designed better enzymes for Fabry. We're in the process of doing that for Pompe disease, where we just started a new program and an undisclosed blood factor disorder in the Takeda partnership, all of which is encouraging us, especially based on really positive feedback so far from Takeda that this is a really great way to bring CodeEvolver into the world of drug discovery. Most gene therapy companies, maybe all gene therapy companies, aren't really looking at improving nucleic acid information to enable a better performing enzyme to be expressed. So it's a novel approach, and that's why Takeda basically signed out for this deal. And we see multiple other gene therapy targets beyond those few that were working with Takeda, where we can bring better transgenes into - to create better gene therapies going forward. So yes, indeed, we're showcasing this to other partners, I think, long term. There's definitely a medium term. There's prospect for partners there, but we're going to start by doing our own internally self-funded gene therapy transgene programs so that we can develop proof of concept, that would be the raw material for us to advance towards the clinic ourselves and/or to showcase to other partners beyond Takeda.