Ep209: Mathai Mammen on Developing Drugs Against Undruggable Targets
Episode
96 min
Read time
3 min
Topics
Career Growth, Remote Work, Investing
AI-Generated Summary
Key Takeaways
- ✓Drugging flat protein surfaces: Roughly 80% of intracellular proteins lack the pockets or clefts required for conventional small molecule drugs, making them inaccessible to existing modalities. Parabolas addresses this by using alpha helical peptides that can traverse cell membranes and bind flat, smooth protein surfaces. The alpha helix structure works because its self-satisfied hydrogen bonds do not require water removal during membrane crossing, a property borrowed directly from naturally occurring transmembrane proteins.
- ✓Platform differentiation from stapled peptides: Earlier stapled peptide approaches like Aileron's used a single central chemical lock on the helix, leaving the peptide ends unstructured and limiting amino acid diversity to a small set of helix-compatible natural residues. Parabolas employs hundreds of distinct stabilization chemistries distributed across the full peptide, enabling use of over 3,000 synthetic amino acids. This produces a chemical search space of 3,000 to the power of 20 possible compounds, creating a structurally distinct and proprietary drug class.
- ✓Indication selection strategy for novel mechanisms: When a drug targets a previously undrugged mechanism, choosing a late-line, heavily mutated cancer population as the first indication risks obscuring efficacy signals. Parabolas learned this in colorectal cancer, where fifth- and sixth-line patients had accumulated dozens of additional driver mutations beyond beta catenin. The corrective strategy was to pivot to genetically purer, earlier-stage cancers like desmoid tumors, where beta catenin is the dominant driver, yielding a 74% objective response rate across 38 patients.
- ✓Portfolio filtering by replaceability: Mammen applies a "missing man" test to drug development decisions: if a program disappeared overnight, would any patient population go unserved? Programs that are nth-in-class on a validated mechanism fail this test because competitors will cover that patient need. This filter, applied at both Merck and J&J, led to terminating incremental programs and redirecting resources toward first-in-class mechanisms. At J&J, 21 deals were executed under this philosophy, with 18 still advancing.
- ✓Safety profile of beta catenin blockade: Prior Wnt pathway inhibitors targeting porcupine produced significant bone density loss and taste disturbance, creating concern about the entire pathway's therapeutic window. Zolucatotide shows only mild, manageable bone effects addressable with standard osteoporosis medications, and no taste disturbance, suggesting the earlier side effects were off-target rather than mechanism-driven. Aldosterone reduction appears only at doses well above those needed for efficacy, further widening the usable therapeutic index.
What It Covers
Mathai Mammen, CEO of Parabolas Medicines, details how the company uses stabilized alpha helical peptides incorporating over 3,000 synthetic amino acids to drug previously inaccessible intracellular proteins. The conversation covers the science behind targeting beta catenin and TCF, early clinical results in desmoid tumors showing 74% objective response rate, and plans following a record $770M biotech IPO in 2026.
Key Questions Answered
- •Drugging flat protein surfaces: Roughly 80% of intracellular proteins lack the pockets or clefts required for conventional small molecule drugs, making them inaccessible to existing modalities. Parabolas addresses this by using alpha helical peptides that can traverse cell membranes and bind flat, smooth protein surfaces. The alpha helix structure works because its self-satisfied hydrogen bonds do not require water removal during membrane crossing, a property borrowed directly from naturally occurring transmembrane proteins.
- •Platform differentiation from stapled peptides: Earlier stapled peptide approaches like Aileron's used a single central chemical lock on the helix, leaving the peptide ends unstructured and limiting amino acid diversity to a small set of helix-compatible natural residues. Parabolas employs hundreds of distinct stabilization chemistries distributed across the full peptide, enabling use of over 3,000 synthetic amino acids. This produces a chemical search space of 3,000 to the power of 20 possible compounds, creating a structurally distinct and proprietary drug class.
- •Indication selection strategy for novel mechanisms: When a drug targets a previously undrugged mechanism, choosing a late-line, heavily mutated cancer population as the first indication risks obscuring efficacy signals. Parabolas learned this in colorectal cancer, where fifth- and sixth-line patients had accumulated dozens of additional driver mutations beyond beta catenin. The corrective strategy was to pivot to genetically purer, earlier-stage cancers like desmoid tumors, where beta catenin is the dominant driver, yielding a 74% objective response rate across 38 patients.
- •Portfolio filtering by replaceability: Mammen applies a "missing man" test to drug development decisions: if a program disappeared overnight, would any patient population go unserved? Programs that are nth-in-class on a validated mechanism fail this test because competitors will cover that patient need. This filter, applied at both Merck and J&J, led to terminating incremental programs and redirecting resources toward first-in-class mechanisms. At J&J, 21 deals were executed under this philosophy, with 18 still advancing.
- •Safety profile of beta catenin blockade: Prior Wnt pathway inhibitors targeting porcupine produced significant bone density loss and taste disturbance, creating concern about the entire pathway's therapeutic window. Zolucatotide shows only mild, manageable bone effects addressable with standard osteoporosis medications, and no taste disturbance, suggesting the earlier side effects were off-target rather than mechanism-driven. Aldosterone reduction appears only at doses well above those needed for efficacy, further widening the usable therapeutic index.
- •AI moat through proprietary unnatural amino acid data: General-purpose AI protein design tools cannot model peptides containing thousands of synthetic amino acids because no training data exists for those structures. Parabolas has accumulated over a decade of experimental data on its helicon peptides, which it uses to fine-tune generative models through reinforcement learning. This creates a defensible data moat: the predictive models improve with each new compound synthesized, reducing the need to physically make and test every candidate before identifying leads.
- •Hiring for curiosity, hunger, and mission alignment: Across Theravance, Merck, and J&J, Mammen identifies three non-negotiable hiring criteria: genuine intellectual curiosity, sustained hunger to achieve outcomes, and authentic belief in the mission of making medicines. Curiosity correlates with humility because learners continuously revise prior assumptions. Mission alignment prevents the short-term distractions that derail programs. At Theravance, this culture produced 16 eventual biotech CEOs from the first 200 employees, and 9 approved products from 30 clinical nominations.
Notable Moment
After losing two daughters, both at age six, within four years of each other, Mammen describes spending months unable to get out of bed before concluding that the only path forward was to intensify his commitment to drug development. He reframed each medicine's impact as a ripple effect touching not just one patient but every family member and caregiver around them.
Episode Transcript
Welcome to the long run. This is a podcast for biotech adventurers. I'm your host, Luke Timmerman. Today's guest is Matai Mammen. Matai is the CEO of Cambridge, Massachusetts based Parabolas Medicines. The company has a platform for making drugs that hit elusive biological targets that are known drivers of disease. Parabolus attacks these targets with alpha helical peptide drugs that can get inside cells and bind with relatively flat and smooth surfaces of proteins. It pursues these targets which conventional small molecules and biologics haven't been able to hit. The initial application of this technology is for a drug candidate against the beta catenin and TCF complex. This first of its kind drug candidate, zolucatotide, is being evaluated in clinical trials for desmoid tumors and a couple other rare diseases driven by this pathway. Beta catenin is implicated in an estimated ten percent of all cancers, which means this drug has broad potential use. Parabolas went public earlier in 2026, raising $770,000,000 for its drug development programs. It's the largest IPO ever for a venture backed biotech company. The idea is to begin with zolocatotide, but also extend Parabolus' R and D portfolio with other alpha helical peptides to hit historically undruggable targets that are known drivers of disease. Matthijs came to this role after a long career as a scientific entrepreneur at Theravance, followed by top leadership jobs in large pharma at Merck and Johnson and Johnson. He and his family have also endured personal tragedy. And that's part of what focuses him on the human dimension of the biotech industry. Success can be defined in many ways, but one clear way is by providing patients and their families more years of quality time together. He definitely gets that part. Now before we get started, a word from the sponsor of the show, AlphaSense. So far, 2026 has been a year of transition for health care and life sciences. Over the first half of this year, the AlphaSense health care research team analyzed the individual stories moving the needle across the life sciences ecosystem as part of the sector spotlight series. The eight spotlights can be downloaded at timmermanreport.com. They feature the high stakes battles for new drug markets like oral GLP ones and targeted radioligand therapies, a resurgent biotech IPO market, and more. Follow the sector's key debates during the second half of twenty twenty six and beyond with the latest sector spotlights directly in. And quick question. When was the last time a CRO told you what something costs before you sign an NDA, sat through two scoping calls, and waited a week for a scope of work? In bioanalysis, pricing gets treated like a closely guarded secret. DashBio thinks that's backward. It publishes pricing publicly on its website and even has a calculator that shows how the price changes if you redesign your study. You can see what your study costs before you talk to a human being. No surprise line items, no it depends, …
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