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.