Cambridge Healthtech Institute’s 22nd Annual

Display of Antibodies

Leading the Way for Antibody Drugs of the Future

May 4-5, 2020


The evolution of phage and yeast display techniques have enabled a vast array of constructs that include bispecific antibodies, antibody-drug conjugates, immunotherapy constructs, T cell receptors, and membrane proteins with ever greater potency and target specificity. The 22nd Annual Display of Antibodies conference at the PEGS Summit convenes the premier leaders in antibody engineering every year to review the latest technology developments that are advancing the field of biologics forward. Don’t miss this significant milestone in the year to learn about new approaches to solving the challenges that remain in protein engineering and hear about the latest tools that are being deployed including structure-based drug design, deep sequencing and single cell analysis.

Preliminary Agenda

STATE-OF-THE-ART IN ANTIBODY ENGINEERING

Design of Bispecific Antibodies: From Heavy/Light Chain Pairing Preferences to Mitigating High Viscosity

Paul J. Carter, PhD, Senior Staff Scientist & Senior Director, Antibody Engineering, Genentech

Addressing Antibody Developability by Mammalian Display

John McCafferty, PhD, CEO and Founder, IONTAS

Next-Generation Platforms for Antibody Discovery

Andrew R.M. Bradbury, MB BS, PhD, CSO, Specifica, Inc.

Selection and Optimization of Antibodies against Multipass Membrane Proteins in situ on Cell Surfaces

Robert Pejchal, PhD, Director, Antibody Engineering, Adimab LLC

Mechanism-Driven Discovery of Immunotherapeutic Antibodies

Jamie B. Spangler, PhD, Assistant Professor, Biomedical Engineering and Chemical & Biomolecular Engineering, Johns Hopkins University, Whiting School of Engineering

Selected Poster Presentation to be Announced

Speaker to be Announced

PROTEIN STRUCTURE FOR ENGINEERING PROTEINS

Mammalian Display Platform for Facile, FACS-Based Engineering of Antibodies, T Cell Receptors and Other Membrane Proteins of Interest

Jennifer Maynard, PhD, Henry Beckman Professor, McKetta Department of Chemical Engineering, Cockrell School of Engineering, The University of Texas at Austin

MicroED: Conception, Practice and Future Opportunities

Tamir Gonen, PhD, Professor, Biological Chemistry and Physiology, David Geffen School of Medicine, University of California, Los Angeles

Structure-Guided Design of Immunogens Based on Flavivirus Glycoprotein E Domain III (EDIII)

Jonathan R. Lai, PhD, Professor, Biochemistry, Albert Einstein College of Medicine

NGS AND MACHINE LEARNING IN ANTIBODY DISCOVERY

Combining Machine Learning and Antibody Discovery

Simon Friedensohn, Researcher, Biosystems Science & Engineering, ETH Zurich

Machine Learning and Antibody Repertoire Sequencing Harnessed for Antibody Discovery – A Case Study from HCV

Gur Yaari, PhD, Associate Professor, Bioengineering, Faculty of Engineering, Bar Ilan University

Semi-Supervised Machine Learning in the Identification of Antibody Leads from in vitro Selections

M. Frank Erasmus, PhD, Head, Bioinformatics, Specifica, Inc.

PHAGE AND YEAST DISPLAY FOR EMERGING AND CHALLENGING TARGETS

KEYNOTE PRESENTATION: Attacking the Cancer Surfaceome with Recombinant Antibodies

James A. Wells, PhD, Professor, Departments of Pharmaceutical Chemistry and Cellular & Molecular Pharmacology, University of California, San Francisco

Antibody Fragments as Tools to Investigate G Protein-Coupled Receptor Signaling

Andrew C. Kruse, PhD, Associate Professor, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School

From Nanobodies to Megabodies for Applications in Cryo-EM

Jan Steyaert, PhD, Francqui Research Professor, Vrije Universiteit Brussel (VUB); Director, VIB-VUB Center for Structural Biology, VIB

Leveraging Next-Generation Yeast Display Libraries for Systems Immunology

Aaron M. Ring, MD, PhD, Assistant Professor, Immunobiology, Yale School of Medicine



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

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Update History
2019/11/25
Sponsor updated



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