219: From 10,000 Structures to 1.8 Billion Interactions: Breaking the Data Bottleneck to Engineer Efficacious Therapeutics with Troy Lionberger - Part 1 episode artwork

EPISODE · Jan 13, 2026 · 26 MIN

219: From 10,000 Structures to 1.8 Billion Interactions: Breaking the Data Bottleneck to Engineer Efficacious Therapeutics with Troy Lionberger - Part 1

from Smart Biotech Scientist | The CMC and Biomanufacturing Podcast for Bioprocess Development and Manufacturing Leaders · host David Brühlmann - CMC Development Leader, Biotech C-level Advisor, Business Strategist

Antibody therapeutics have transformed modern medicine, but for many scientists, developing new candidates still feels like searching for a needle in a haystack—a slow, expensive, and unpredictable process. Structural biology and high-throughput data generation are now collapsing that haystack, offering unprecedented visibility into the molecular handshake that drives life: protein-protein interactions.In this episode, David Brühlmann sits down with Troy Lionberger, Chief Business Officer at A-Alpha Bio, for an in-depth discussion on protein-protein interactions and how advances in data generation and machine learning are transforming antibody discovery and drug development.Troy Lionberger shares his journey into biotechnology, challenges long-held beliefs about antibody development, and explains how Alphabio's high-throughput affinity measurements are shortening timelines and improving outcomes for therapeutic development.In this episode, you’ll learn about:The historical and current challenges in characterizing these interactions at scale (06:22)How new technologies—especially high-throughput platforms—are changing the needle-in-the-haystack approach (08:40)A comparison of traditional in vivo and in vitro antibody discovery methods, along with their strengths and limitations (09:06)The evolving role of AI and machine learning in antibody discovery and lead optimization (12:11)Real-world examples of how A-Alpha Bio’s approach is compressing years of work into months without sacrificing quality (13:58)The science behind A-Alpha Bio’s AlphaSeq technology and how it leverages yeast display and genomics for large-scale affinity measurements (20:43)The practical affinity range the technology can measure, covering most therapeutic applications (23:25)Whether you’re a scientist navigating CMC or a biotech professional curious about next-generation workflows, this episode offers practical insights into both traditional and emerging methodologies in the field.Connect with Troy Lionberger:LinkedIn: www.linkedin.com/in/troylionbergerA-Alpha Bio website: www.aalphabio.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereOne bad CDMO decision can cost you two years and your Series A. If you're navigating tech transfer, CDMO selection, or IND prep, let's talk before it gets expensive. Two slots open this month.Support the show

Antibody therapeutics have transformed modern medicine, but for many scientists, developing new candidates still feels like searching for a needle in a haystack—a slow, expensive, and unpredictable process. Structural biology and high-throughput data generation are now collapsing that haystack, offering unprecedented visibility into the molecular handshake that drives life: protein-protein interactions. In this episode, David Brühlmann sits down with Troy Lionberger, Chief Business Officer at...

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219: From 10,000 Structures to 1.8 Billion Interactions: Breaking the Data Bottleneck to Engineer Efficacious Therapeutics with Troy Lionberger - Part 1

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This episode was published on January 13, 2026.

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Antibody therapeutics have transformed modern medicine, but for many scientists, developing new candidates still feels like searching for a needle in a haystack—a slow, expensive, and unpredictable process. Structural biology and high-throughput...

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