Refinement of Highly Flexible Protein Structures using Simulation‐Guided Spectroscopy. (27th November 2018)

• Record Type: Journal Article
• Authors: Hays, Jennifer M.; Kieber, Marissa K.; Li, Jason Z.; Han, Ji In; Columbus, Linda; Kasson, Peter M.
• Is Part Of: Angewandte Chemie. Volume 130:Number 52(2018)
• Page Start: 17356
• Page End: 17360
• Publication Date: 2018-11-27
• Subjects: EPR-Spektroskopie -- Konformationensembles -- Moleküldynamik -- Proteinstrukturen -- Transinformation; Chemistry -- Periodicals; 540
• DOI: 10.1002/ange.201810462
• Languages: English
• ISSNs: 0044-8249

Abstract

Abstract: 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. Abstract : Moleküldynamisch unterstützte Spektroskopie : Eine Methode zur gezielten Auswahl des spektroskopischen Experiments ermöglicht eine effiziente Verfeinerung von Konformationsensembles von Proteinen. Die Methode verwendet Moleküldynamik‐Simulation und Informationstheorie und wird mittels DEER‐Spektroskopie getestet.