Maximizing Quantity and Quality while Minimizing Time and Cost

 Meeting industry’s growing demands for recombinant protein expression and production requires next-gen strategies and breakthrough research while developing and applying cutting-edge tools and technologies.  The Expression Stream explores 1) expression, production, and purification of difficult-to-express proteins examines 2) expression hosts what is the best expression system for expressing your protein of choice? and concludes 3) management strategies of an efficient protein production laboratory.   These strategic back-to-back meetings investigate the newest data, innovations and strategies to make the expression of therapeutic proteins more efficient, effective and trouble-free.

Conferences Include:

May 15-16

Difficult-to-Express Proteins

May 16-17

Optimizing Protein Expression

May 18-19

Maximizing Protein Production Workflows

Keynote and Featured Presentations:

Molecular Engineering of Water-Soluble Integral Membrane Proteins and Their Application
Matthew DeLisa, PhD, Director, Cornell Institute of Biotechnology, Cornell University; Co-Founder, UbiquiTx, Inc.

AltHost Consortium: Engineering Yeast to Optimize Protein Production and Post-Translational Modifications
J. Christopher Love, PhD, Professor, Chemical Engineering, Massachusetts Institute of Technology

Evaluation of Site-Specific Methylation of the CMV Promoter and Its Role in CHO Cell Productivity of a Recombinant Monoclonal Antibody
Susan Sharfstein, PhD, Professor, Nanobioscience, Nanoscale Science and Engineering, SUNY Polytechnic Institute

2026 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 Multispecific Antibodies

• Emerging T Cell Engagers
• Advances in Immunotherapy
• 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 Autoimmune Diseases
• Frontiers in Radiopharmaceutical Therapy
• Emerging Peptide Therapeutics

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