Biologics developability: learn how Merck uses Prometheus Panta to create developability profiles for their mAbs

October 20, 2021

Discover how the Protein Sciences group at Merck & Co. builds developability profiles for their monoclonal antibody variants. Get an in-depth explanation of the experiments they set up to obtain parameters that help them decide which candidates have the best potential to reach the market, and how they validated that the data they obtained to do this work matched up with previous profiles.

You’ll learn about:

  • Why it was important for Merck to build developability profiles from biophysical stability attributes of their candidates
  • Which parameters they measured to create these profiles
  • Why a combinatorial approach was valuable to their workflow
  • How they validated that the addition of DLS-derived parameters did not compromise their previous nanoDSF-derived data

Why it’s important to early discovery protein scientists:
The biologic drug development process is expensive, and often leads to time and money lost on candidates that never reach the clinic. Improved developability profiles enable researchers in the early discovery or pre-formulations stages to select candidates that have a great chance at clinical success. Merck used a combinatorial approach to building their developability profiles, using both thermal and colloidal stability information from a single platform to improve their candidate rankings.

Want to know about high precision tools for the combined characterization of thermal and colloidal stability of biologics? Learn more about Prometheus Panta

Previous Video
How 2bind identifies the best buffer for a vaccine antigen target with Prometheus Panta
How 2bind identifies the best buffer for a vaccine antigen target with Prometheus Panta

Discover how 2bind applied multi-parameter characterization from a single experiment to find the optimal bu...

Up next
Select the best biologics candidates with high-quality, multi-parameter stability characterization
Select the best biologics candidates with high-quality, multi-parameter stability characterization

Ready to tackle your challenging stability characterizations?

Discover tools