Session Title: Data Science for Integrated Dynamic Structural Biology

Session Summary:Data science, particularly deep machine learning, has transformative impacts on molecular studies of biological processes and human diseases. This session showcases some recent breakthroughs that integrate experimental data and molecular modeling to derive structure and dynamic properties of molecular assemblies and interactions. These developments are providing increasingly complete and more accurate pictures of various complex processes fundamental to biology and medicine.

Chairs
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  • Florence Tama
  • (Nagoya University & RIKEN Center for Computational Science)
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  • Jianhan Chen
  • (University of Massachusetts Amherst)
Speakers
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  • Chaok Seok
  • (Seoul National University)
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  • Massimiliano Bonomi
  • (Institut Pasteur - CNRS)
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  • Michael Feig
  • (Michigan State University)
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  • Alexandre Bonvin
  • (Utrecht University)