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

Important Deadlines
Early Registration Deadline: Feb. 4, 2025
Scholarship Deadline: Dec. 19, 2024
Short Talk Abstract Deadline: Dec. 19, 2024
Poster Abstract Deadline: Feb. 27, 2025
Meeting Summary

# Biochemistry, Structural and Cellular

This meeting will focus on the intersection of machine learning with structural biology, bringing together researchers working on development of core computational methods for proteins and molecules, their integration with experimental data, and their application at scale to biological problems.

The meeting aims to:

  1. present the latest methodological developments in this fast moving field, including design and prediction of stable structures and conformational ensembles
  2. showcase how machine learning is changing the practice of structural biology
  3. illustrate how the availability of large structural databases opens the door to new types of biological questions
  4. build bridges between method developers focused on de novo prediction and design and those incorporating experimental structural data
  5. delineate the frontiers of machine learning for macromolecular structures  and function

Attendees will gain a better understanding of what is currently possible using state-of-the-art tools, where the most promising applications are, and what new developments lie over the horizon. By engaging related but normally disparate fields, this meeting will spark new collaborations spanning method developers, data generators, and biological hypothesis testers to ultimately drive applications that will advance biology and medicine. Typically these communities are siloed, with machine learning conferences covering key methodological developments but lacking attendees from the life sciences. Conversely, the most exciting applications of protein structure prediction are typically presented at biology-focused symposia such as Keystone, which attract few machine learning researchers. This meeting will connect these critical communities together to collectively address gaps between these fields and accelerate the development of machine learning approaches that will shape the future of structural biology.  This first-of-its-kind conference will act as a nexus to spur innovative methodology and applications to serve unmet needs and yield transformative insights in structural biology.

This conference will be held jointly with the Keystone Symposium on Imaging Biomolecules Across Scales:  From Atoms to Tissues to enable cross-disciplinary insights and collaborations towards integrating the state-of-the-art in cryoEM/ET technologies with machine learning capabilities.

In the video below, Meeting Co-Organizer Dr. Elizabeth Kellogg, PhD from St. Jude Children's Research Hospital, talks about why you should attend this meeting:

Dr. Elizabeth Kellogg

And, check out the speaker highlights in this video below:

Workshop on Networking & Communication Skills for Early-Career Scientists

Join us for an interactive workshop designed to equip you with practical tools to make the most of your conference experience.  Learn how to effectively connect with colleagues, publishers, funders, future employers and other critical audiences to advances your research and career.  Through hands-on activities, you’ll learn to craft your research story tailored to diverse audiences, and develop skills for initiating, sustaining, and wrapping up conversations smoothly. Through personalized feedback, this session will empower you to make a lasting impression and maximize every networking opportunity at the conference, and throughout your career.

Sunday, March 23, 4-6pm

Pre-register to let us know you are coming here: https://form.jotform.com/243295739483167.

Unique Career Development Opportunities

This meeting will feature a Career Roundtable where trainees and early-career investigators will have the opportunity to interact with field leaders from across academic and industry sectors for essential career development advice and networking opportunities. Find out more about Career Roundtables here: https://www.keystonesymposia.org/diversity/career-development-initiatives

KEYSTONE SYMPOSIA THANKS OUR GIFT-IN-KIND MEDIA SPONSORS

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