Hayward, Steven ORCID: https://orcid.org/0000-0001-6959-2604 (2023) A retrospective on the development of methods for the analysis of protein conformational ensembles. The Protein Journal, 42 (3). pp. 181-191. ISSN 1572-3887
Preview |
PDF (Hayward_2023_TPJ)
- Published Version
Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Analysing protein conformational ensembles whether from molecular dynamics (MD) simulation or other sources for functionally relevant conformational changes can be very challenging. In the nineteen nineties dimensional reduction methods were developed primarily for analysing MD trajectories to determine dominant motions with the aim of understanding their relationship to function. Coarse-graining methods were also developed so the conformational change between two structures could be described in terms of the relative motion of a small number of quasi-rigid regions rather than in terms of a large number of atoms. When these methods are combined, they can characterize the large-scale motions inherent in a conformational ensemble providing insight into possible functional mechanism. The dimensional reduction methods first applied to protein conformational ensembles were referred to as Quasi-Harmonic Analysis, Principal Component Analysis and Essential Dynamics Analysis. A retrospective on the origin of these methods is presented, the relationships between them explained, and more recent developments reviewed.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | collective motions,domain motions,essential dynamics,principal component analysis,quasi-harmonic analysis,analytical chemistry,bioengineering,biochemistry,organic chemistry ,/dk/atira/pure/subjectarea/asjc/1600/1602 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Computational Biology |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 19 Apr 2023 16:31 |
Last Modified: | 30 Jun 2023 08:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/91845 |
DOI: | 10.1007/s10930-023-10113-9 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |