
SEP 25, 2025
PROTEIN DESIGN SERVICES
Designing better biologics: A blueprint for leveraging in silico methods in biologics R&D
The development of biologics is a complex, high-risk process, often slowed by challenges in protein stability, selectivity, and affinity. Join us for a detailed look into how Schrödinger’s advanced computational protein design platform can help you navigate these hurdles and accelerate your pipeline.
In this exclusive webinar, our experts will provide a technical overview of our unique, physics-based approach to protein engineering and customizable in silico workflow, and discuss several relevant examples. We’ll then dive into a case study, showcasing a recent collaboration where we successfully implemented this rational, structure-based approach to guide the design of a protein cage that assembles stably at neutral pH and disassembles at low pH for controlled payload delivery. By incorporating our computational workflow, the customer was able to dramatically reduce the number of variants tested experimentally, saving valuable time and resources.
Finally, we will provide a clear guide on how to engage with us – from small-scale pilot projects to full-scale collaborations – and show you how our platform can become a powerful extension of your R&D team. Discover how to leverage cutting-edge technology to bring your next biologic to the clinic faster and with a higher probability of success.
Webinar Highlights
- Overview of Schrödinger’s biologics capabilities and offerings for rational antibody design
- Introduction to Schrödinger’s biologics services and how to get started
- Case study: Collaboration in which a structure-based approach successfully guided the design of a pH-controlled protein cage
Our Speakers

Dan Cannon
Director, Head of Biologics Modeling, Schrödinger
Dr. Dan Cannon is the Director, Head of Biologics Modeling, as well as the lead for biologics services in Europe. Prior to joining Schrödinger, Dan received his Ph.D. from the University of Strathclyde in Glasgow, UK and in 2016 began working at MedImmune (now AstraZeneca) in Cambridge, UK, using computational approaches for therapeutic protein design. Since joining Schrödinger in 2018, Dan has leveraged his extensive biologics expertise to enable Schrödinger customers to create and deploy cutting-edge computational workflows and design better molecules, faster.

Jared Sampson
Senior Scientist II, Life Science Software, Schrödinger
Jared Sampson joined Schrödinger in 2020, working primarily on analysis of and development of improved workflows for Protein FEP+ calculations. He received a Ph.D. from Columbia University, training in computational molecular biophysics and experimental structural biology and biophysics under Rich Friesner and Larry Shapiro, respectively. With 17 years of experience in the field, his prior work and research interests include host-pathogen, antibody-antigen, and antibody-receptor interactions; protein engineering; and pH-dependent binding.