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Hydrodynamic Models of G-Quadruplex Structures.

Jonathan B Chaires1, William L Dean1, Huy T Le1

  • 1James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky, USA.

Methods in Enzymology
|September 29, 2015
PubMed
Summary
This summary is machine-generated.

G-quadruplexes are complex DNA/RNA structures. This study presents a computational and experimental method to model higher-order G-quadruplex structures, validating them with biophysical data.

Keywords:
Analytical ultracentrifugationDNA structureG-quadruplexHydrodynamic modelsMolecular dynamicsPartial specific volume

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • G-quadruplexes are noncanonical four-stranded DNA/RNA structures formed by guanine-rich sequences.
  • G-quadruplexes exhibit diverse topologies due to tetrad stacking and loop variations.
  • High-resolution structures of short G-quadruplexes are known, but higher-order structures in longer sequences remain challenging to characterize.

Purpose of the Study:

  • To develop and describe an integrated computational and experimental approach for modeling higher-order G-quadruplex structures.
  • To obtain structural models for G-quadruplexes potentially forming in longer telomeric or promoter sequences.
  • To validate these models using experimentally testable hydrodynamic properties.

Main Methods:

  • Atomic-level model building based on folding principles from known high-resolution structures.
  • Molecular dynamics optimization of atomic-level models.
  • Construction of bead models using HYDROPRO to predict hydrodynamic properties.
  • Validation of models by comparing predicted hydrodynamic properties with experimental measurements (e.g., analytical ultracentrifugation).

Main Results:

  • An integrated approach combining computational modeling and experimental validation was successfully implemented.
  • Structural models for higher-order G-quadruplexes were generated.
  • Predicted hydrodynamic properties from the models showed good agreement with experimental data.

Conclusions:

  • The described integrated approach provides a viable strategy for characterizing higher-order G-quadruplex structures in longer nucleic acid sequences.
  • This method enables the prediction and validation of G-quadruplex structures using biophysical properties.
  • The approach facilitates a deeper understanding of G-quadruplex formation in biologically relevant contexts like telomeres and promoters.