The 6th Annual Protein Aggregates & Stability brings together analytical and formulation scientists to discuss strategies to optimise biologics and formulation stability, prediction of stability and aggregation propensity, and quantification and control of aggregates, particles and degradation products. 

We are seeking case studies and unpublished data that demonstrate the mechanistic understanding of protein aggregation, illustrate strategies to prevent polysorbate degradation, discuss improved techniques to predict stability and aggregation propensity in early development, and showcase technologies and approaches to characterize, control and mitigate aggregates and impurities.

 

Coverage will include, but is not limited to:

  • Fundamentals in Structure Determinants of Aggregation
    • Mechanisms of protein folding and self-association
    • Effect of mutations on proteins
    • Aggregation and immunogenicity challenges
  • Novel Techniques and Approaches to Predict Stability and Aggregation Propensity
    • Screening for Stability
    • Evaluating relationship of protein structure and stability
    • Synthetic Biology
    • Florescence-based technique to evaluate folded proteins
    • Quantifying aggregation distribution
    • Forced degradation to predict stability issues
    • Machine learning approaches to develop portfolio of aggregate species
  • Polysorbate Degradation and Impact on Stability
    • Interaction of excipients and proteins, and protein-protein interactions
    • Polysorbate degradation by oxidative pathway and hydrolysis
  • Sub-visible Particles Analysis
    • Leachables from packaging and process materials
    • Silicon oil, elastic polymer
  • Strategies and Technologies to Characterize, Control and Minimize Protein Aggregation
    • Formulation and container closure system strategies
    • Freeze-thawing strategies to minimize aggregation
    • Deep learning methods to assess protein folding challenges
    • Single cell transcriptomics and deep sequencing in single-cells
  • Advances in Formulation and Stability Studies in Complex Molecules
    • RNA-based therapies
    • Combinations, mixtures and co-formulations
    • ADCs and fusions

 


* The program is subject to change without notice, due to unforeseen reason.