edoc

Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange Data

Devaurs, Didier and Antunes, Dinler A. and Papanastasiou, Malvina and Moll, Mark and Ricklin, Daniel and Lambris, John D. and Kavraki, Lydia E.. (2017) Coarse-Grained Conformational Sampling of Protein Structure Improves the Fit to Experimental Hydrogen-Exchange Data. Frontiers in Molecular Biosciences, 4. p. 13.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/55050/

Downloads: Statistics Overview

Abstract

Monitoring hydrogen/deuterium exchange (HDX) undergone by a protein in solution produces experimental data that translates into valuable information about the protein's structure. Data produced by HDX experiments is often interpreted using a crystal structure of the protein, when available. However, it has been shown that the correspondence between experimental HDX data and crystal structures is often not satisfactory. This creates difficulties when trying to perform a structural analysis of the HDX data. In this paper, we evaluate several strategies to obtain a conformation providing a good fit to the experimental HDX data, which is a premise of an accurate structural analysis. We show that performing molecular dynamics simulations can be inadequate to obtain such conformations, and we propose a novel methodology involving a coarse-grained conformational sampling approach instead. By extensively exploring the intrinsic flexibility of a protein with this approach, we produce a conformational ensemble from which we extract a single conformation providing a good fit to the experimental HDX data. We successfully demonstrate the applicability of our method to four small and medium-sized proteins.
Faculties and Departments:05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Pharmazie > Molecular Pharmacy (Ricklin)
UniBasel Contributors:Ricklin, Daniel
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Frontiers Media
e-ISSN:2296-889X
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:03 Oct 2017 09:52
Deposited On:03 Oct 2017 09:52

Repository Staff Only: item control page