Complementary techniques for biophysical characterization of peptides and protein-based drug products

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In early research and development of peptide and new protein- based drug products, the combination of biophysical and structural properties is used to inform rational design of stable pharmaceutical formulation. In this webinar, we will share how Small-Angle X-ray Scattering (SAXS) complemented with other scattering methods allows detailed investigation of protein and peptide behaviour across various sample conditions, and can be used to inform triaging of lead candidates or to optimise formulation conditions.

Learn how Novo Nordisk is combining Dynamic Light Scattering (DLS) with Small-Angle X-ray Scattering (SAXS) and Size-Exclusion Chromatography Multi-Angle Light Scattering (SEC-MALS) to better understand peptide population distribution and study agglomeration.

발표자

  • Soren Skou - Managing Director Xenocs Nordic, Xenocs
  • Alina Kulakova - Senior Research Scientist, Novo Nordisk
  • Hanna Jankevics Jones - Sector Marketing Director Pharma & Food, Malvern Panalytical

자세한 내용

Who should attend? 

  • Scientists and researchers interested in stability of biopharmaceuticals, such as peptides

What will you learn? 

  • Learn how to better understand peptide population distributions and agglomeration tendencies
  • Understand how SAXS and SEC-MALS can overcome the limitations of DLS, particularly in studying peptide aggregation and distribution across different populations

About the series: Focus on Biopharmaceuticals

  • Partnering for innovation: Learn about the collaboration between Malvern Panalytical and Xenocs and how the combination of our tools and expertise delivers innovative solutions for biophysical characterization
  • Biologics Deep Dive: Explore orthogonal techniques for stability assessment of peptide-based therapeutics. 
  • A closer look at lipid nanoparticles (LNPs): Understand the structure and stability behavior of these complex drug delivery systems.

Register for the full series today: