cgDNAweb

cgDNAweb provides interactive visualization and prediction of sequence-dependent ground state configurations of double-stranded DNA using the cgDNA coarse-grain rigid-base model to determine minimum free-energy shapes and fluctuation properties for sequences from a few base pairs to several hundred base pairs.


Key Features:

  • Interactive Visualization: Visualization of sequence-dependent ground state configurations of double-stranded DNA.
  • Sequence-Dependent Analysis: Analysis of sequence-dependent equilibrium statistical-mechanical properties relevant to protein binding sites, nucleosome positioning, and phased A-tracts.
  • Ground State Prediction: Prediction of minimum free-energy shapes for arbitrary DNA sequences (few bp to several hundred bp) using the cgDNA coarse-grain rigid-base model.
  • Comparison of Sequences: Comparison of ground state shapes and sequence-specific structural features across different DNA sequences.

Scientific Applications:

  • Protein Binding Sites: Characterizing indirect read-out mechanisms by assessing how sequence-dependent DNA shape influences protein–DNA interactions.
  • Nucleosome Positioning: Evaluating sequence tendencies to favor or disfavor nucleosome formation based on predicted ground state configurations.
  • Phased A-Tracts and Structural Motifs: Investigating the role of sequence-dependent stiffness and fluctuations in the formation of phased A-tracts and other DNA structural motifs.

Methodology:

Uses the cgDNA coarse-grain rigid-base model to simulate the equilibrium statistical mechanics of double-stranded DNA, computing ground state (minimum free-energy) configurations and associated fluctuations determined by sequence-dependent stiffness for sequences from a few bp to several hundred bp.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Mac
Programming Languages:
JavaScript
Added:
6/18/2018
Last Updated:
11/25/2024

Operations

Publications

De Bruin L, Maddocks JH. cgDNAweb: a web interface to the cgDNA sequence-dependent coarse-grain model of double-stranded DNA. Nucleic Acids Research. 2018;46(W1):W5-W10. doi:10.1093/nar/gky351. PMID:29905876. PMCID:PMC6030996.

PMID: 29905876
PMCID: PMC6030996
Funding: - Swiss National Science Foundation: 200020 143613/1