Latest / The BioHub - by Avetix / Episode 226 - Tony Estrada - CEO & Co-founder Tenvie Therapeutics
Transcript
- 0:06So welcome back to another episode of the Biohub and Avetix
- 0:10podcast. Today, I'm joined by Tony
- 0:13Estrada, Co founder, President and CEO of 10 V Therapeutics.
- 0:17Before founding 10V, Tony held leadership roles at both
- 0:20Genentech and Denali Therapeutics, where he led the
- 0:23Discovery Sciences organization and helped advance multiple
- 0:27programs across neurology, information and immunology.
- 0:31Today, he's building 10 VA company developing precision
- 0:34engineered small molecule therapies for neurological and
- 0:37peripheral diseases. In this conversation, we
- 0:40discussed the the journey to founding 10V, building a biotech
- 0:44in one of the toughest funding environments in recent years,
- 0:47why neuroscience is entering an exciting new era, the importance
- 0:51of mentorship, and where AI could transform the future of
- 0:54drug discovery. It's a pleasure to have you
- 0:56Tony. How are you?
- 0:58Doing great. Thanks Max.
- 0:59Really appreciate the time and appreciate the opportunity to
- 1:02represent 10 D and on your part back.
- 1:04Yeah, absolutely. It's great to have you on.
- 1:06So just going to start with with you and your career, Tony, you
- 1:11you've spent your career discovering medicines at
- 1:14companies like Genentech and Denali.
- 1:16At what? At what point did you decide you
- 1:18wanted to stop helping build someone else's vision and start
- 1:21building your own? Well, coming out of grad school,
- 1:24starting my industry church, Genentech, it was really
- 1:26critical to understand how to discover medicine.
- 1:30And that's what Genentech really taught me during my roughly 7
- 1:34years there. Then Denali taught me how to
- 1:37build a company. So after advancing 6 homegrown
- 1:42small molecules and A5 year time frame and then human clinical
- 1:46studies at Denali, I'd proven to myself and that I needed to
- 1:50build a standalone company to execute on my vision, which was
- 1:56harnessing the power of small molecules specifically to
- 1:59improve the lives of patients and caregivers and which is what
- 2:03tendies focuses. And so that's understanding that
- 2:07I had a successful product engine and platform that could
- 2:12translate to scalable success. I knew at that point I had to
- 2:18venture and and try a Bamber. Yeah, I love that.
- 2:24And I think taking the plunge is not one of those easy things to
- 2:29do. And you found a 10V in what was
- 2:32one of the the toughest funding environments in biotech.
- 2:36What what gave you the confidence to just to take that
- 2:39leap and and how did those market conditions shape the
- 2:42company you wanted to build? Yeah, I was doing a lot of work
- 2:47not only within Denali, but was also supporting some venture
- 2:52efforts prior to launching 10V. And I was had an understanding
- 2:59of the types of programs, projects and ideas that were
- 3:02being funded. And I knew what I, what my
- 3:07vision was and I was confident that there was opportunities and
- 3:12that there would be significant interest in what we were and
- 3:16what I was going to be able to build.
- 3:19And so I, I, you mentioned a tough environment.
- 3:22I, I love the fact that we launched Tenby in a tough
- 3:24funding environment. It, it helped set the tone for
- 3:28running as discipline and scrap your organization, which remains
- 3:34the same today, even though the market have significantly
- 3:39improved from 2024 and 2025. And I think, you know, we, we
- 3:45retain that scrappiness, that discipline that we had when we
- 3:49started the company. And, and you know, for example,
- 3:53the 10 and 10 VS that comes from tenacity, which is one of our,
- 3:57you know, founding core values. And so being tenacious is
- 4:01actually built into our name. Scrappy is such a good word for
- 4:05me as well. I love that and it and then a
- 4:07startup environment biotech, you just have to be that.
- 4:11But the fact that you guys talk about it so often, I love and
- 4:17it's one of those things that that the easy words to say.
- 4:21But but for you guys, what, what do they actually look like
- 4:24day-to-day when you're building a biotech?
- 4:27Yeah, it means, especially in this environment, it means being
- 4:31relentless, you know, being focusing on controllable details
- 4:39and paying attention to really close important details.
- 4:43Never being outworked, something I've always prided myself on and
- 4:47I think is instilled through the team.
- 4:50It means building a team that's driven to succeed and prefers to
- 4:53be lean and mean. There are cenotypes and
- 4:58individuals who gravitate more to, you know, larger
- 5:02organizations and some redundancy.
- 5:06I think there are some managers who prefer to build large groups
- 5:09and we've identified the folks that love to be lean and mean
- 5:16and where it means willing to make tough prioritization
- 5:20decisions, leading by example and and demonstrating that no
- 5:25job is is too small for anyone, including myself, always being
- 5:30available to the employees. So those are things that are
- 5:32really important then I think help us retain that scrappiness.
- 5:36And and we, you know, I have the other word I often use is, is
- 5:41grinding. We, we grind and biotech,
- 5:44especially start up world as a grind.
- 5:46And so if you're not willing to do that and roll up your
- 5:49sleeves, then it's unlikely you're going to be successful.
- 5:53Yes, a few aspects to it well, right, like I think in in your
- 5:58game that it's such a long journey, you know from start up
- 6:03discovery to to what could be commercialization or or even a
- 6:06deal in the future. You need you need to celebrate
- 6:09those little wins along the way as well and without that
- 6:13scrappiness like you just don't do that.
- 6:16I think that aspects also really important to to think about.
- 6:21Yeah, I agree and and the team will tell you that I'm not
- 6:25always the greatest celebrating this fall wins.
- 6:29I'm very transparent with that because I'm usually looking
- 6:33ahead to the next thing, but it but it is important.
- 6:37And we and we do make a concerted effort at 10 B to
- 6:41recognize the the small victories because again, what we
- 6:47do is really challenging. It's met with a lot of failures
- 6:49and you have to be resilient. And we celebrate, you know, when
- 6:53we are, when we're able to make a successful pause or kill too,
- 6:57because those are important. They not every target is going
- 7:00to work and not every mechanism of action is going to be the
- 7:04right one. Not every binding site or
- 7:06binding mode is going to be the appropriate, you know, success.
- 7:10So we have to be willing to pivot quickly in in the again in
- 7:15this biotech and startup world. I mean, neuroscience is is
- 7:18humbled a lot of companies over the years.
- 7:21So it feels even that much more important, right?
- 7:25But it it does feel like the field is really entering an
- 7:29exciting period. But what do you think about
- 7:33that? Like why do you believe now is
- 7:35the right time for holding in this space?
- 7:38Yeah, it's an interesting question.
- 7:39I know it's one that we face to when we started Denali, you
- 7:44know, roughly A decade ago. Is, is it the right time?
- 7:48Neuroscience is hard. Here we are 10 years later and
- 7:51then that, right? It's the same question for a new
- 7:54journey and a new company. I think the answer similar is
- 7:58that we must act with urgency because there are a lot of of
- 8:04individuals who are suffering from neurological diseases where
- 8:07there is really zero or very few options.
- 8:13The second part of the that is I do believe that we have
- 8:15continually made advancements in neuroscience specifically and
- 8:21despite it being really challenging, some of the
- 8:24advances that we've made that give me confidence that will
- 8:27succeed. And highly relevant to 10B is
- 8:31the speed and sophistication of small molecule drug discovery.
- 8:35So at 10 B and we've developed a purpose built product engine
- 8:39with the ability to rapidly invent, design and develop both
- 8:46fully CNS penetrant and peripheral restricted assets for
- 8:51almost any drug target class. And in two years, we were able
- 8:57to, you know, roughly 2 years post launch, we started phase
- 9:01one clinical trials for two homegrown lead assets from our
- 9:06product engine. And so this is amazing
- 9:08productivity in a short period. And that is something that would
- 9:12have been very challenging to, to imagine, believe and execute
- 9:18on a decade ago. I think that speed there's a lot
- 9:21of things that go into that, but it's it's it's a lot of
- 9:25advancements and in that drug discovery process and in our
- 9:29system that have allowed us to be able to operate together with
- 9:33that speed. I think that another area part
- 9:38of that equation is structural biology.
- 9:40I'll call that out because that impacts our processes on a
- 9:47day-to-day basis and especially cry OEM.
- 9:51These are making really hard CNS targets tractable.
- 9:56So for example, when I started my career 15 plus years ago, the
- 10:03idea of getting in for example, a Co crystal structure of a
- 10:08membrane protein with a ligand was almost laughable.
- 10:11It was essentially not possible. And then so we were limited to
- 10:16homology models or just property based drug design.
- 10:22Today we can get multiple structures for every single one
- 10:28of the targets that we're working on within a month,
- 10:31including membrane proteins, things that are where we're
- 10:36trying to drug protein, protein interactions.
- 10:38Of course you're more traditional kinases or GPCRS,
- 10:42but really any drug target class, we're able to get those
- 10:46Co the the ligand protein structures and that can help us
- 10:52significantly Dr. The drug design, the delivery of the
- 10:57development candidate and then importantly start the the real
- 11:02testing which is in the clinic. One thing that is interesting
- 11:06about you guys that you, you are expressed in clinical assets,
- 11:11but you're also continuing to invest heavily in discovery.
- 11:15How do you balance delivering near term milestones of building
- 11:19what is going to be that next generation?
- 11:22Yeah, it's a challenge. And I think a lot of companies
- 11:24face this challenge and what you see often is you see early
- 11:28startup companies advance their assets into the clinic and then
- 11:31they quickly cool back on some of their research efforts.
- 11:35Here at 10 V we really see research and development as one
- 11:39continuum and we think of it as bench to bedside.
- 11:43And it's the same product engine that generates our are clinical
- 11:49assets that create that near term value today and then which
- 11:53also create the next generation or the next wave of assets that
- 11:56provides the long term and scalable value creation.
- 12:00And that's one of the advantages of and differentiation pieces of
- 12:08you know, 10 B is our ability to be successful both in the near
- 12:11term and then be able to efficiently, especially cost
- 12:16efficiently maintain that product engine and that that
- 12:19research phase to deliver to deliver the next wave of assets.
- 12:25It, it also just solidifies your value as a company as well.
- 12:29We were just talking about other companies that, that it hadn't
- 12:32gone the way that they they'd wanted to with a certain asset.
- 12:35But the companies in question, they they had other options
- 12:39because of the just the pipeline they they built.
- 12:43Yeah, exactly. And and in this arena and early
- 12:47biotech and startup world, it's very rarely the first idea, the
- 12:51first target that you both that you have in your initial vision
- 12:56that pans out. You know we've been very
- 13:00fortunate to date in that NLRP 3 and Psalm 1 specifically for 10B
- 13:08were our top two priority programs when we launched the
- 13:12company and we were able to deliver on advancing assets for
- 13:16both into the clinic within a two year time frame.
- 13:19I think that's not very common especially being able to do so
- 13:24in that time frame. And then with with assets that
- 13:27are homegrown that are not in licensed, you know from another
- 13:31company that it it's a challenge to do and and again, very
- 13:36fortunate that we've been able to do that and stay on our
- 13:39initial vision. And but you never know when you
- 13:42are going to have to pivot. So we have to remain flexible
- 13:45and adaptable to do that just in case something around the corner
- 13:48doesn't quite go our way. And I think the the ability to
- 13:52have not only those near term clinical assets, but then a lot
- 13:57of pipeline programs that have exciting potential and value
- 14:03creation opportunities around the corner that does allow us to
- 14:07spread that risk. Yeah, I love, I love how well
- 14:11you guys doing at the moment. It's so good to see, you know,
- 14:15but long may it continue as well.
- 14:17Like as you said, you haven't had any issues so far as
- 14:20touching wood. And yeah, wish you the best of
- 14:23luck. I want to just take it back a
- 14:26step as well, because in our our call before this, you spoke
- 14:31about the impact that Ryan Watts and other mentors had on your
- 14:36career. How, how important is that
- 14:39mentorship being in in shaping the leader you've become?
- 14:45Yeah, it's significant. And I've been very fortunate as
- 14:47well and blessed, I would say, with a lot of great mentors
- 14:52throughout my career from Genentech, the Denali and here
- 14:55at 10 B2. One of the things you mentioned
- 14:58Ryan and one of the lessons I learned from Ryan was an
- 15:02unwavering commitment to a purpose.
- 15:05I think when at Denali, I may have not fully appreciated it,
- 15:10but I definitely appreciate it now.
- 15:13And it's, it's critical. And at at 10 B, our purpose is
- 15:17to help those suffering from neurological and peripheral
- 15:20diseases. And that drives me and it drives
- 15:23our team every day. And we have to be steadfast and
- 15:28we have to constantly remind ourselves of that purpose
- 15:32because it's really why we do, you know, why we come into work
- 15:35every day. And that's really important.
- 15:39Another lesson that I learned also from Ryan and from other
- 15:43other mentors as well is simplifying complexity.
- 15:46And we set extremely ambitious goals at 10 B, as do a lot of
- 15:51biotech companies. We all have to set ambitious
- 15:53goals to succeed and we're seeking to to tackle complex
- 15:59diseases here. And specifically you mentioned
- 16:02some of the neurological diseases that we that we look to
- 16:06tackle and the ability to slice through the noise and just
- 16:12simplify A complexity. And my role is really important.
- 16:16And that's one of the that's one of the things I look to bring to
- 16:20the team and that I lean on some of our leaders here to also do
- 16:25as well for out the organization to to simplify that complexity.
- 16:31And it's it's not a coincidence as well.
- 16:34Like the amount of times I'll ask someone who's been on this
- 16:37podcast, like, what advice would you give to the generation?
- 16:40It's like look out for mentors. Yeah, I think, I think it's so,
- 16:47so important. Complete change of topic now as
- 16:52well, Terry, but AI some see it's something that's spoken
- 16:57about all the time now in biotedic.
- 17:02What do you think? Like where do you think it would
- 17:04genuinely change the way we discover and develop medicines?
- 17:09And where do you think it's still being overhyped?
- 17:13Yeah. And these are good questions.
- 17:16I think about this often and I'll take it in A10B specific
- 17:20manner, but at 10 B we look at it and I've always looked at it
- 17:24as a fit for purpose approach to AI.
- 17:27So really deploying it and utilizing it where it
- 17:30meaningfully adds value, but not everywhere.
- 17:33And so in, for example, in research, this means combining
- 17:38humans and machine to accelerate our design, make test cycles
- 17:43within our our small molecule jar discovery processes.
- 17:47And so this is applying best in class models to predict ADME and
- 17:52PK properties before we ever even synthesize a compound.
- 17:56So at the in silico stage, it's also then continuing to utilize
- 18:02those tools at an N Vitron and then vivo stage as well to help
- 18:06with triage and to ensure that we are, you know, maximizing the
- 18:11probability of success with the fewest number of molecules as
- 18:14possible. And that shortens those
- 18:16timelines. And we also use AI to make sense
- 18:19of, we generate a lot of data and a lot of high volume data.
- 18:23And so using AI can help us with simplifying that as well.
- 18:29And we do that on a, you know, daily, weekly basis.
- 18:34The other areas and development, which is another, which is an
- 18:37arena where I think AI can make significant impact and already
- 18:40is I believe across the industry.
- 18:43For us that means streamlining clinical trials through patient
- 18:47recruitment, eligibility, rescreening, data management,
- 18:50because again, we talked about data we generate preclinically.
- 18:54We also generate a lot of data clinically as well as document
- 18:58generation. You know, the number of
- 19:00documents, especially when you're moving multiple molecules
- 19:03in parallel through, you know, through the clinic with a small
- 19:08team, anytime you can leverage document generation tools,
- 19:14that's also something that we look to.
- 19:17I think you mentioned hype or over hype.
- 19:20And and regarding that, what I would say is AI can do we, we've
- 19:26it continually can do more and more things for us in drug
- 19:29discovery where I believe, again, just to reiterate, it's,
- 19:34it impacts 10 BS accelerating prioritization and design ideas
- 19:40and triaging clinical operations, but it doesn't
- 19:44replace scientific judgment, it doesn't replace experimentation
- 19:48and it doesn't replace great scientists.
- 19:50And so when I see that, I think those are the areas where raise
- 19:55eyebrows for me and where I'm not bought into the height.
- 19:59I think those things are going to remain do.
- 20:03You do you think there's an element of fear of being left
- 20:09behind by biotechs? Like we've got to jump on this
- 20:13AI bandwagon in some way because otherwise, you know, these other
- 20:18biotechs where our competition will be leaps and bounds ahead
- 20:21of us. So we, we, we've just got to do
- 20:23something and that's where potentially overuse or what
- 20:27whatever may may come of AI. Yes, I do.
- 20:31I do think there is a bit of of sort of FOMO in that.
- 20:35And I do think that especially in 2020-2021, you know, during
- 20:40the, the COVID boom, you saw a lot of companies, you know,
- 20:46immediately shift to high valuations and, you know,
- 20:49attract a lot of investors with a lot of false promises on the
- 20:56ability of AI to basically be a closed loop process of, you
- 21:02know, delivering high impact drugs quickly without, you know,
- 21:08in, in a short amount of time and a high volume.
- 21:11And I think what we've seen is when companies rely on that too
- 21:16much. And we weren't seeing the
- 21:18success in the clinic. And, and so I, I do believe that
- 21:24to your question again, yes, there is that fear of missing
- 21:27out. But I do also believe that
- 21:30there's been a recalibration across the, the industry.
- 21:36And I do believe positively that quite a few companies and, and
- 21:42leaders are now looking at it more for a fit for purpose.
- 21:45Where does it make sense for for their specific companies and
- 21:49where can it be applied productively versus versus we
- 21:52have to do this because if we don't, we're not going to get
- 21:56funding or we're not going to work, we're going to fall
- 21:59behind. Yeah.
- 22:01Completely. Great.
- 22:03Thanks so much for coming on, Tony.
- 22:06It's brings us to my final question, which is the same
- 22:10question for every guest. If you if you could have dinner
- 22:14with any scientists or innovator, past or present, who
- 22:17would it be and why? It's a lot of people who I'd
- 22:21want to have dinner with to rack their brains on things.
- 22:24I think the one that I would more from the innovation side
- 22:28and actually more from the athletic side, given how much of
- 22:31A presence that or how important athletics was in my past, is
- 22:34John Wooden. He was a legendary UCLA
- 22:38basketball coach. He won 10 NCAA championships,
- 22:41including seven in a row, which is almost unprecedented and
- 22:45probably will never happen again.
- 22:48But what I admire the most about John Wood, and I've read a lot
- 22:51of his books, is this pyramid of success that you developed,
- 22:55which centers on character discipline, teamwork, continuous
- 22:59improvement. All these things I had in my
- 23:02mind and have had in my mind for years if I were to ever build a
- 23:07company. And that's a lot of these things
- 23:09are essential to building 10 to be another key belief of John
- 23:15Wood and was realistic optimism. And my team hears me say that
- 23:19all the time. And it's acknowledging the facts
- 23:22and challenges ahead, but focusing on what we control and
- 23:26trusting that will find a path forward and succeed.
- 23:29And and so that's in my mind, it's critical and and is
- 23:35something that has helped me and a mindset that I try to bring as
- 23:40a biotech CEO to Tenby everyday and to the teams.
- 23:45Yeah, I love that. And it's gone hand in hand with
- 23:47the conversation we just had as well around all the mentality.
- 23:52It was an absolute pleasure to have you on, Tony.
- 23:55Thanks again, Max, really appreciate the time and and and
- 23:58the invitation again to talk about 10 B which it's my life
- 24:02and I love it. So appreciate, appreciate the
- 24:05time. Thank you so much and look
- 24:07please everyone like and subscribe to the bio hub and and
- 24:11thank you so much again, Tony.