Molecular Dynamics of "Fuzzy" Transcriptional Activator-Coactivator Interactions
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Published version
Accepted version
Author(s)
Scholes, NS
Weinzierl, ROJ
Type
Journal Article
Abstract
Transcriptional activation domains (ADs) are generally thought to be intrinsically unstructured, but capable of adopting limited secondary structure upon interaction with a coactivator surface. The indeterminate nature of this interface made it hitherto difficult to study structure/function relationships of such contacts. Here we used atomistic accelerated molecular dynamics (aMD) simulations to study the conformational changes of the GCN4 AD and variants thereof, either free in solution, or bound to the GAL11 coactivator surface. We show that the AD-coactivator interactions are highly dynamic while obeying distinct rules. The data provide insights into the constant and variable aspects of orientation of ADs relative to the coactivator, changes in secondary structure and energetic contributions stabilizing the various conformers at different time points. We also demonstrate that a prediction of -helical propensity correlates directly with the experimentally measured transactivation potential of a large set of mutagenized ADs. The link between -helical propensity and the stimulatory activity of ADs has fundamental practical and theoretical implications concerning the recruitment of ADs to coactivators.
Date Issued
2016-05-13
Date Acceptance
2016-04-21
Citation
Plos Computational Biology, 2016, 12 (5)
ISSN
1553-7358
Publisher
Public Library of Science
Journal / Book Title
Plos Computational Biology
Volume
12
Issue
5
Copyright Statement
© 2016 Scholes, Weinzierl. This is an
open access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited.
open access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited.
License URL
Sponsor
Medical Research Council (MRC)
Grant Number
G1100057
Subjects
Bioinformatics
06 Biological Sciences
08 Information And Computing Sciences
01 Mathematical Sciences
Publication Status
Published
Article Number
e1004935