The energy landscape theory of protein folding and dynamics and machine learning have had a long common history. A common set of statistical mechanical tools has bridged the two fields. I will review how the main features of the energy landscapes of proteins and of chromosomes have been learned from huge amounts of data. Landscape analysis then allows one to learn about macromolecular evolution and function through high-throughput surveys and simulations.

Landscape learning

Macromolecular Chemistry: The Second Century

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ACS Spring 2020 National Meeting & Expo

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.