cgNA+web

cgNA+web visualizes sequence-dependent ground states of double-stranded nucleic acids using the cgNA+ coarse-grain model to characterize equilibrium statistical-mechanics effects on shape and stiffness.


Key Features:

  • Sequence-Dependent Visualization: Visualizes ground states of dsNA fragments with arbitrary sequences and highlights how sequence-dependent perturbations alter shape and stiffness away from an idealized double-helical structure.
  • cgNA+ coarse-grain model: Implements the cgNA+ coarse-grain model to capture sequence-dependent perturbations and fluctuations and to predict equilibrium ground-state shapes.
  • Modeling Versatility: Supports parameter sets for double-stranded DNA (dsDNA), including sequences with epigenetically modified CpG dinucleotide steps, double-stranded RNA (dsRNA), and DNA:RNA hybrid double-helical fragments.
  • Comparative Analysis: Enables comparison of ground-state shapes between different sequences of the same dsNA or analogous sequences across different dsNA types.

Scientific Applications:

  • Mechanical Property Analysis: Analyzing how specific sequences influence the mechanical properties and stability (shape and stiffness) of dsNAs.
  • Epigenetic Modification Effects: Investigating the structural and mechanical impacts of epigenetically modified CpG dinucleotide steps in DNA.
  • RNA and Hybrid Structure Analysis: Exploring sequence-dependent structural variations of dsRNA and DNA:RNA hybrid fragments.

Methodology:

The cgNA+ coarse-grain model captures sequence-dependent perturbations and fluctuations, accounts for deviations from an idealized double-helical structure, and predicts equilibrium ground-state shapes of dsNAs.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/26/2024
Last Updated:
11/24/2024

Operations

Publications

Sharma R, Patelli AS, De Bruin L, Maddocks JH. cgNA+web : A Visual Interface to the cgNA+ Sequence-dependent Statistical Mechanics Model of Double-stranded Nucleic Acids. Journal of Molecular Biology. 2023;435(14):167978. doi:10.1016/j.jmb.2023.167978. PMID:37356908.

PMID: 37356908
Funding: - Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung: 200020_182184

Links