Best Practices and Solutions for Characterization of Novel Biologics

The popular PEGS Analytical Stream focuses on the application of characterization tools to help gain a detailed knowledge of proteins from discovery through all the stages of development and production.  For 2023, this three-meeting stream offers comprehensive individual programs focused on novel therapeutic modalities, biophysical methods and the implementation and impacts of digital tools and big data in this function.  The more than fifty conference speakers in this stream will be augmented by focused short courses and hosted roundtable discussions on themes related to this field. 

Conferences Include:

May 15-16

Digital Integration in Biotherapeutic Analytics

May 16-17

Biophysical Methods

May 18-19

Characterization for Novel Biotherapeutics

Keynote Presentations:

Best Practices for Successful Digital Transformations
Rachel R. Kroe-Barrett, PhD, Executive Director, Biophysics, Boehringer Ingelheim Pharmaceuticals, Inc.

Biophysical Characterization of Difficult-to-Express Proteins
Anne Skaja Robinson, PhD, Trustee Professor & Department Head, Chemical Engineering, Carnegie Mellon University

Reduction of Therapeutic Antibody Self-Association Using Yeast-Display Selections and Machine Learning
Peter M. Tessier, PhD, Albert M. Mattocks Professor, Pharmaceutical Sciences & Chemical Engineering, University of Michigan

What’s in Your Toolbox? Analytical Strategies for Agile Viral Vector PD
Brenna Kelley-Clarke, Senior Director, Gene Delivery Process & Analytical Development, Bristol Myers Squibb Co.

2025 PROGRAMS

View By:

• Display of Biologics
• Engineering Antibodies
• Machine Learning for Protein Engineering

• Antibodies for Cancer Therapy
• Emerging Targets for Oncology & Beyond
• Driving Clinical Success in Antibody-Drug Conjugates

• TS: Intro to Multispecific Antibodies
• Advancing Multispecific Antibodies
• Engineering Bispecific and Multifunctional Antibodies

• Advances in Immunotherapy
• Engineering Cell Therapies
• Next-Generation Immunotherapies

• Difficult-to-Express Proteins
• Optimizing Protein Expression
• Maximizing Protein Production Workflows

• ML and Digital Integration in Biotherapeutic Analytics
• Biophysical Methods
• Characterization for Novel Biotherapeutics

• TS: Intro to Immunogenicity
• Predicting Immunogenicity with AI/ML Tools
• TS: Bioassay Development and Analysis

• Biologics for Immunology Indications
• Radiopharmaceutical Therapies
• Next-Generation Immunotherapies

• ML and Digital Integration in Biotherapeutic Analytics
• Predicting Immunogenicity with AI/ML Tools
• Machine Learning for Protein Engineering