| Literature DB >> 34963060 |
Dzmitry Ashkinadze1, Piotr Klukowski1, Harindranath Kadavath1, Peter Güntert2, Roland Riek3.
Abstract
Allostery and correlated motion are key elements linking protein dynamics with the mechanisms of action of proteins. Here, we present PDBCor, an automated and unbiased method for the detection and analysis of correlated motions from experimental multi-state protein structures. It uses torsion angle and distance statistics and does not require any structure superposition. Clustering of protein conformers allows us to extract correlations in the form of mutual information based on information theory. With PDBcor, we elucidated correlated motion in the WW domain of PIN1, the protein GB3, and the enzyme cyclophilin, in line with reported findings. Correlations extracted with PDBcor can be utilized in subsequent assays including nuclear magnetic resonance (NMR) multi-state structure optimization and validation. As a guide for the interpretation of PDBcor results, we provide a series of protein structure ensembles that exhibit different levels of correlation, including non-correlated, locally correlated, and globally correlated ensembles.Entities:
Keywords: multi-state protein structure; protein correlations; protein structure; statistical analysis of protein structures
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Year: 2021 PMID: 34963060 DOI: 10.1016/j.str.2021.12.002
Source DB: PubMed Journal: Structure ISSN: 0969-2126 Impact factor: 5.006