Joint with: Imaging Biomolecules Across Scales: From Atoms to Tissues
Machine Learning Applied to Macromolecular Structure and Function
Mar 23–26, 2025 | Keystone Resort, Keystone, CO, United States
Scientific Organizers:
Mohammed AlQuraishi, Elizabeth Kellogg and Possu Huang
In Person
On Demand
Mar 23–26, 2025 | Keystone Resort, Keystone, CO, United States
Scientific Organizers:
Mohammed AlQuraishi, Elizabeth Kellogg and Possu Huang
Available Formats:
In Person
On Demand
Supported by the Directors' Fund
Available Formats: = In Person = On Demand
Sunday, March 23, 2025
Fundraising
Booking Function
Merchandise Options
Registration Options
Workshop on Networking & Communication Skills for Early-Career Scientists
4:00–6:00 PM
Registration
4:00–8:00 PM
Welcome Mixer
6:00–8:00 PM
Monday, March 24, 2025
Breakfast
7:00–8:00 AM
Welcome and Keynote Address (Joint)
8:00–9:00 AM
Wolfgang P. Baumeister, Max Planck Institute of Biochemistry
Cryo-Electron Tomography or the Power of Seeing the Whole Picture
Cryo-Electron Tomography or the Power of Seeing the Whole Picture
Machine Learning for Protein Structure (Joint)
9:00–11:15 AM
Hannah Wayment-Steele, University of Wisconsin-Madison
Have Protein Language Models Learned Dynamics
Have Protein Language Models Learned Dynamics
Sergey Ovchinnikov, Massachusetts Institute of Technology
Hacking AlphaFold to Do New Things
Hacking AlphaFold to Do New Things
Mohammed AlQuraishi, Columbia University
Understanding How AlphaFold Learns
Understanding How AlphaFold Learns
Short Talk(s) Chosen from Abstracts
Coffee Break
9:30–9:50 AM
Poster Setup
11:15–1:00 PM
On Own for Lunch
11:15–2:30 PM
Poster Viewing
1:00–10:00 PM
Symposia Spotlight: Getting into Machine Learning
2:30–4:30 PM
Short Talk(s) Chosen from Abstracts
Coffee Available
4:30–5:00 PM
Applying Protein Structure Prediction at Scale
5:00–7:00 PM
Martin Steinegger, Seoul National University
Fast Search Methods to Organize the Structural Protein Universe
Fast Search Methods to Organize the Structural Protein Universe
Florian Jug, Fondazione Human Technopole
Talk Title to be Announced
Talk Title to be Announced
Short Talk(s) Chosen from Abstracts
Social Hour with Lite Bites
7:00–8:00 PM
Poster Session 1
7:30–10:00 PM
Tuesday, March 25, 2025
Breakfast
7:00–8:00 AM
CryoET/EM and Machine Learning (Joint)
8:00–11:00 AM
Bridget Carragher, Chan Zuckerberg Imaging Institute
Making Cryo-ET Faster, Better, Cheaper
Making Cryo-ET Faster, Better, Cheaper
Bronwyn Lucas, University of California, Berkeley
Single Molecule Localization and Structure Probing in Cells
Single Molecule Localization and Structure Probing in Cells
Elizabeth Villa, University of California, San Diego
Discovering New Biology with Cryo-ET
Discovering New Biology with Cryo-ET
Elizabeth Kellogg, St. Jude Children's Research Hospital
Structural Insights into CRISPR-Based Genome Editing
Structural Insights into CRISPR-Based Genome Editing
Short Talk(s) Chosen from Abstracts
Coffee Break
9:00–9:20 AM
Poster Setup
11:00–1:00 PM
On Own for Lunch
11:00–5:00 PM
Poster Viewing
1:00–10:00 PM
Career Roundtable (Joint)
3:00–4:30 PM
Coffee Available
4:30–5:00 PM
Protein Structure and Drug Discovery
5:00–7:00 PM
John Chodera †, Memorial Sloan Kettering Cancer Center
Talk Title to be Announced
Talk Title to be Announced
Stephanie Wankowicz †, University of California San Francisco
Talk Title to be Announced
Talk Title to be Announced
John M Nicoludis, Genentech, Inc.
Protein Structure Prediction for Drug Discovery
Protein Structure Prediction for Drug Discovery
Short Talk(s) Chosen from Abstracts
Social Hour with Lite Bites
7:00–8:00 PM
Poster Session 2
7:30–10:00 PM
Wednesday, March 26, 2025
Breakfast
7:00–8:00 AM
Machine Learning for Protein Design
8:00–11:00 AM
Amy E. Keating, Massachusetts Institute of Technology
ML Design of Protein-Binding Peptides
ML Design of Protein-Binding Peptides
John Ingraham, Generate Biomedicines, Inc.
Diffusion Models for Controllable Protein Design
Diffusion Models for Controllable Protein Design
Possu Huang, Stanford University
Deep Generative Models for Protein Design
Deep Generative Models for Protein Design
Bruno Emanuel Correia, École Polytechnique Fédérale de Lausanne
Talk Title to be Announced
Talk Title to be Announced
Short Talk(s) Chosen from Abstracts
Coffee Break
9:00–9:20 AM
On Own for Lunch
11:00–5:00 PM
Coffee Available
4:30–5:00 PM
Machine Learning Methods Proximal to Protein Structure
5:00–6:45 PM
Qiang Cong, UT Southwestern
Computing the Human Interactome
Computing the Human Interactome
Charlotte Deane, University of Oxford
Structural Basis of Small Molecule Binding by Machine Learning
Structural Basis of Small Molecule Binding by Machine Learning
Ellen Zhong, Princeton University.
Machine Learning for CryoEM Reconstruction
Machine Learning for CryoEM Reconstruction
Short Talk(s) Chosen from Abstracts
Meeting Wrap-Up: Outcomes and Future Directions (Organizers)
6:45–7:00 PM
Social Hour with Lite Bites
7:00–8:00 PM
Cash Bar
8:00–9:00 PM
Entertainment
8:00–9:00 PM
Thursday, March 27, 2025
Departure
12:00–11:59 PM
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