Hybrid Refinement of Heterogeneous Conformational Ensembles Using Spectroscopic Data

Published in Journal of Physical Chemistry Letters, 2019

Recommended citation: Hybrid Refinement of Heterogeneous Conformational Ensembles Using Spectroscopic Data. Jennifer M. Hays, David S. Cafiso, and Peter M. Kasson. The Journal of Physical Chemistry Letters 2019 10 (12), 3410-3414. https://doi.org/10.1021/acs.jpclett.9b01407

Highly flexible proteins present a special challenge for structure determination because they are multi‐structured yet not disordered, so their conformational ensembles are essential for understanding function. Because spectroscopic measurements of multiple conformational populations often provide sparse data, experiment selection is a limiting factor in conformational refinement. A molecular simulations‐ and information‐theory based approach to select which experiments best refine conformational ensembles has been developed. This approach was tested on three flexible proteins. For proteins where a clear mechanistic hypothesis exists, experiments that test this hypothesis were systematically identified. When available data did not yield such mechanistic hypotheses, experiments that significantly outperform structure‐guided approaches in conformational refinement were identified. This approach offers a particular advantage when refining challenging, underdetermined protein conformational ensembles.

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