Computational Design and Modeling of Biomolecules (Rescheduled from January 2022)

Mar 14–17, 2023 | Fairmont Banff Springs, Banff, AB, Canada
Scientific Organizers: Tim Whitehead, Nir London, Roberto A. Chica and Birte Höcker

  In Person
  On Demand

Mar 14–17, 2023 | Fairmont Banff Springs, Banff, AB, Canada
Scientific Organizers: Tim Whitehead, Nir London, Roberto A. Chica and Birte Höcker

Important Deadlines
Early Registration Deadline: Jan. 12, 2023
Scholarship Deadline: Dec. 13, 2022
Short Talk Abstract Deadline: Deadlines not yet available for this meeting.
Poster Abstract Deadline: Dec. 13, 2022
Meeting Summary

# Biochemistry, Structural and Cellular
# Drug Discovery, Bioengineering and Digital

The scientific community is increasingly able to predict and design three-dimensional structures of proteins, RNA, macromolecular complexes, and biomolecule-ligand interactions with atomic accuracy. This biomolecular design and modeling interdisciplinary field has impacted fields as diverse as immunology, nanotechnology, biocatalysis, cellular and molecular engineering, drug delivery, vaccinology, and drug discovery. These disparate fields are underpinned by continuing advances in the design and predictive modeling of biomolecules and biomolecular assemblies. This conference is intended to bring the worldwide community of protein designers and modelers together to discuss recent advances. This program is topical as the field of protein design has moved from toy challenges to solving real-world problems. It is important to include computational design and modeling as its own conference as no other venue exists to bring the entire worldwide community to one location. In this watershed moment in the life of the field, this meeting can unite the global community of molecular modelers to build on these successes and push forward as a community to expand the field by diversifying our methods, approaches and ideas. In addition, the field of molecular modeling is naturally positioned to implement and integrate concepts and methodologies in deep learning and artificial intelligence. The huge recent spike in interest in such methods gives this conference a great opportunity to spearhead these developments.

KEYSTONE SYMPOSIA THANKS OUR GIFT-IN-KIND MEDIA SPONSORS

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