Document type

Article

Version

Accepted version

Publication date

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/153498

Determination of a structural ensemble representing the dynamics of a G-Quadruplex DNA

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

It is increasingly recognized that the structures and dynamics of G-quadruplex DNA molecules are dictated by their sequences and greatly affected by environmental factors. The core guanine tetrads (G-tetrads) coordinate cations and display a strong conformational rigidity compared with that of the connecting loops. Although long loops linking the G-tetrads are typically disfavored, when present, they provide a striking illustration of the dynamics of short, single-stranded DNA regions. In addition to their role in determining the stability of the G-quadruplex state, these loops are also interesting as potential drug targets. To characterize accurately the dynamics of this DNA state, we apply here the principles of structural ensemble determination developed in the past two decades for protein molecules to DNA molecules. We thus perform extensive molecular dynamics simulations restrained with nuclear magnetic resonance residual dipolar couplings to determine a structural ensemble of the human CEB25 minisatellite G-quadruplex, which contains a connecting loop of nine nucleotides. This structural ensemble displays a wide set of arrangements for the loop and a compact, well-defined G-quadruplex core. Our results show the importance of stacking interactions in the loop and strengthen the ability of the closing base pairs to confer a large thermodynamic stability to the G-quadruplex structure.

Citation

Citation

PORTELLA, Guillem, OROZCO LÓPEZ, Modesto and VENDRUSCOLO, Michele. Determination of a structural ensemble representing the dynamics of a G-Quadruplex DNA. Biochemistry. 2019. Vol. 59, num. 4, pags. 379-388. ISSN 0006-2960. [consulted: 16 of June of 2026]. Available at: https://hdl.handle.net/2445/153498

Export metadata

JSON - METS

Share record