Cambridge Healthtech Institute’s 15th Annual

Difficult-to-Express Proteins  

Overcoming Expression Challenges

May 4-5, 2020


The intrinsic nature of proteins tends to make them ‘difficult’ to produce. CHI’s 15th Annual Difficult-to-Express Proteins conference examines the challenges researchers encounter when striving for high-yield production of “difficult-to-express” proteins (DTEPs), and the strategies and technologies that have proven successful in overcoming those challenges. Besides exploring notoriously difficult proteins, such as membrane proteins, the conference will also look at the emerging tools that are proving helpful in determining structure, and protocols that are successful for handling proteins that are difficult to express. The Difficult-to-Express Proteins conference provides the latest developments in improving yield for DTEPs through case studies and breakthrough data.

Preliminary Agenda

NEW FRONTIERS FOR DTEPs USING CRYO-EM AND MASS SPEC

KEYNOTE PRESENTATION:
GPCR Drug Discovery: Integrating Solution NMR Data with Crystal and Cryo-EM Structures

Kurt Wüthrich, PhD, Professor, Structural Biology, Scripps Research Institute

Cryo-EM Guided Reconstitution System Optimization for Challenging Membrane Proteins towards High Conformational Stability

Xinchao Yu, PhD, Senior Scientist, Cryo-EM, Amgen, Inc.

Native Ion Mobility Mass Spectrometry of Intact Membrane Protein Complexes

Arthur Laganowsky, PhD, Assistant Professor, Chemistry, Texas A&M University

UTILIZING NANODISCS

DNA-Corralled Nanodiscs for the Study of Large Membrane Proteins and Their Complexes

Mahmoud L. Nasr, PhD, Instructor, Biological Chemistry & Molecular Pharmacology, Harvard Medical School

Cell-Free Co-Translational Approaches for Producing Mammalian Receptors Using Nanolipoproteins (Nanodisc)

Matthew Coleman, PhD, Senior Scientist & Group Leader, Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory

EXPRESSING MEMBRANE PROTEINS

Shaping Escherichia coli for Recombinant Membrane Protein Production

Jan-Willem de Gier, PhD, CSO, Xbrane Bioscience, AB; Associate Professor, Center for Biomembrane Research, Stockholm University

G Protein-Coupled Estrogen Receptor Production Using an Escherichia coli Cell-Free Expression System

Ho Leung Ng, PhD, Associate Professor, Biochemistry & Molecular Biophysics, Kansas State University

G Protein-Coupled Receptor Expression in Yeast

Anne (Skaja) Robinson, PhD, Professor and Head, Chemical Engineering, Engineering, Carnegie Mellon University

Expression of Thermostable Human Cannabinoid Receptor CB2 in Mammalian Cell Cultures and Its Biophysical Characterization

Alexei Yeliseev, PhD, Staff Scientist, Group Leader, LMBB, NIH/NIAAA

STRATEGIES FOR OPTIMIZING DTEP EXPRESSION

Strategies for Optimizing Challenging-to-Express Protein Targets

Rana Sidhu, PhD, Protein Expression Lead, Early Solutions, UCB, Inc.

Utilizing Randomized Configuration Targeted Integration (RCTI) Cell Line Development (CLD) Approach for Expression of Difficult or Complex Therapeutic Proteins

Shahram Misaghi, PhD, Senior Scientist, Early Stage Cell Culture (ESCC), Genentech, Inc.

Scaling Up and Scaling Out: Pushing the Boundaries of Transient Protein Production

Speaker to be Announced

HARNESSING BREAKTHROUGH TECHNOLOGIES

Sequence-Based Prediction of Protein Solubility Using State-Of-The-Art Machine Learning Approaches

Reda Rawi, PhD, Staff Scientist, Structural Bioinformatics Core Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIAID/NIH)

Machine Learning in Computational Biology to Accelerate High-Throughput Protein Expression

Elizabeth Brunk, PhD, Scientist, Moores Cancer Center, University of California, San Diego

DELINEATING STRUCTURE

Strategies to Improve Single-Chain Fvs as Crystallization Chaperones

Susanne Gräslund, PhD, Principal Investigator, Structural Genomics Consortium, Karolinska Institute

The Structural Basis of Lipid Scrambling and Inactivation in the Endoplasmic Reticulum Scramblase TMEM16K

James Love, PhD, Director, Applied Automation, Novo Nordisk



* 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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