Developing a second oral peptide isn't a simple 'copy-and-paste' of the first. The team uses the analogy of having a second child: while past experience makes them faster and more efficient, each new molecule presents its own unique challenges that must be solved from scratch. This highlights the nuanced reality of platform technology leverage.
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In the real world, the selection of a therapeutic modality like an antibody or peptide is often driven by a company's existing expertise and technology platform rather than a purely agnostic approach to finding the single best tool for a clinical problem. Organizations default to the tools in their toolbox.
Recursion's CEO outlines a two-pronged pipeline strategy. The first prong uses phenomics to uncover novel biological insights for new targets, like their FAP program. The second uses their AI-driven small molecule design platform to improve the therapeutic index for known but historically 'hard-to-drug' targets, like CDK7. This balanced portfolio approach de-risks development by leveraging different strengths of their end-to-end platform.
To tackle the high-risk, high-reward obesity market, the company is developing both an injectable and an oral version of the same triple-agonist molecule. The injectable version will enter the clinic first, allowing them to quickly obtain human proof-of-concept and validate the molecule's efficacy before investing heavily in the more complex oral formulation.
Tackling monumental challenges, like creating a biologic effective against 800+ HIV variants, is not a single-shot success. It requires multiple iterations on an advanced engineering platform. Each cycle of design, measurement, and learning progressively refines the molecule, making previously impossible therapeutic goals achievable.
The company positions its peptide platform as the ideal middle ground in drug development. They aim to create medicines that are functionally like highly selective, less toxic large biologics (e.g., antibodies) but are structurally designed for the convenience of an oral pill, combining the best attributes of both major drug classes.
Acknowledging its late entry into the crowded obesity market, Protagonist consulted key opinion leaders to define the ideal drug profile: an oral "triple G" agonist. By using its peptide platform to build exactly what experts requested, the company aims to leapfrog competitors with a best-in-class product rather than an incremental improvement.
The increasing volume of new therapies requires pharma companies to stop treating each launch as a unique event. Instead, they must develop a scalable, repeatable, and excellent launch capability to handle the future pipeline efficiently and consistently.
Profluent CEO Ali Madani frames the history of medicine (like penicillin) as one of random discovery—finding useful molecules in nature. His company uses AI language models to move beyond this "caveman-like" approach. By designing novel proteins from scratch, they are shifting the paradigm from finding a needle in a haystack to engineering the exact needle required.
CEO Jonathan Steckbeck simplifies a complex topic by describing peptides as a "Goldilocks modality." They sit between small molecules (good access, poor specificity) and biologics (poor access, good specificity), ideally offering the best of both worlds for targeted drug delivery.
All therapeutic discoveries fall into two types. The first is a biological insight, where the challenge is to find a way to drug it. The second is a technical advancement, like a new platform technology, where the challenge is to find the right clinical application for it. This clarifies a startup's core problem.
