Analyzing Biomolecular Ensembles

Lambrughi, M. ✉; Tiberti, M. ✉; Allega, M.F. ✉; Sora, V.; Nygaard, M. ✉; Toth, A. [Tóth, Ágota (biofizika), author]; Salamanca, Viloria J.; Bignon, E.; Papaleo, E. ✉

English Chapter (Chapter in Book) Scientific
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    Several techniques are available to generate conformational ensembles of proteins and other biomolecules either experimentally or computationally. These methods produce a large amount of data that need to be analyzed to identify structure–dynamics–function relationship. In this chapter, we will cover different tools to unveil the information hidden in conformational ensemble data and to guide toward the rationalization of the data. We included routinely used approaches such as dimensionality reduction, as well as new methods inspired by high-order statistics and graph theory. © Springer Science+Business Media, LLC, part of Springer Nature 2019.
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    2025-04-25 05:00