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Workshops

Workshops will be held over a two-week period following the Annual Meeting. Workshops differ from other sessions in that they are technique oriented. They cover emerging methods presented by widely acknowledged developers and experts who help the participants gain a working knowledge of new technologies.

Workshop participation is included in the Annual Meeting registration fee; however, you will need to register separately for each workshop below.

Register for the Annual Meeting Now.

Tuesday, March 9, 2021

10:00 AM - 12:00 PM USA Eastern
Workshop 1: Machine Learning and Deep Learning

High throughput approaches for the study of biological systems, from genome sequencing to the fast acquisition of images, has led to the creation of datasets ripe for analysis with artificial intelligence methods.  Machine learning and deep learning are forms of artificial intelligence that are now widely used in biology.  This workshop will gather AI experts to discuss progress in the field.

Linfeng Zhang, Beijing Institute of Big Data Research, China
Deep Learning Assisted Multi-Scale Methods for Molecular Simulation 

John Jumper, DeepMind, United Kingdom
High Accuracy Protein Structure Prediction Using Deep Learning 

Gaetano Montelione, Rensselaer Polytechnic Institute, USA
Combining Contact Predictions with Sparse NMR Data for Modeling Protein Structures and Dynamics 

Michael Doron, Broad Institute, USA
Image-Based Profiling for Biological Discovery Using Machine Learning

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Thursday, March 11, 2021

10:00 AM - 12:00 PM USA Eastern
Workshop 2: Mass Spectrometry in the Cell

Many important biological questions require studying molecules in cells.  This workshop will focus on advances in mass spectrometry that are allowing increasingly precise quantification of molecules, primarily proteins, sometimes inside cells, sometimes even with single-cell resolution.  This workshop will gather experts that will discuss applications to complex biological problems.

Michael Marty, University of Arizona, USA
Mass Spectrometry Inside Membranes: Combining Native MS and Nanodiscs to Study the Biophysics of Membrane Proteins and Peptides 

Albert Heck, Utrecht University, The Netherlands
Probing the Cellular Organization by Cross-linking Mass Spectrometry 

Vicki Wysocki, The Ohio State University, USA
Native Mass Spectrometry Guided Structural Biology: Protein and Nucleoprotein Complexes 

Stephen Fried, Johns Hopkins University, USA
Interrogation of Protein Refolding on the Proteome Scale with Mass Spectrometry – Methods and Insights 

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Tuesday, March 16, 2021

3:00 PM - 5:00 PM USA Eastern
Workshop 3: Challenges in Cryo-EM and Cryo-ET

Cryo-electron microscopy and tomography are powerful imaging tools.  Despite the remarkable discoveries they have enabled, major challenges remain, especially for the application of cryo-ET for visualization of molecular complexes in cells.  This workshop will focus on advances in methods and instrumentation and their application to study molecules and cells.

Alex de Marco, Monash University, Australia
Democratizing in situ Structural Biology 

Peter Peters, Maastricht University, The Netherlands
Understanding the Invisible Hands of Sample Preparation for Cryo-EM 

Bram Koster, Leiden University, The Netherlands
Zooming in on Cells and Molecules with Correlative Light and Electron Tomography 

Howard White, Eastern Virginia Medical School, USA
Time-resolved Cryo-EM: Improvements in Method and New Results

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Thursday, March 18, 2021

10:00 AM - 12:00 PM USA Eastern
Workshop 4: Single-Particle Tracking

This workshop will bring together experts to discuss advances in technical aspects of single-particle tracking methodology and their application to examine critically important questions of the properties of particles in tissues and cells.

Ulrike Endesfelder, Carnegie Mellon University, USA
Single-particle Tracking of Dense and Highly Dynamic Data 

Khuloud Jaqaman, University of Texas, Southwestern Medical Center, USA
Analysis of Receptor Movement and Interactions through Single-particle Tracking 

Yoav Shechtman, Technion - Israel Institute of Technology, Israel
Combining Point Spread Function Engineering with Deep Learning for Single-Particle Tracking 

Laurent Cognet, University of Bordeaux, France
Nanoscale Exploration of Live Brain Tissues Based on Superresolution Microscopy and Near-infrared Emitting Carbon Nanotubes 

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