cgNA+web : A Visual Interface to the cgNA+ Sequence-dependent Statistical Mechanics Model of Double-stranded Nucleic...

Area of Science:

• Structural Biology
• Biophysics
• Computational Biology

Background:

• The biological functions of double-stranded nucleic acids (dsNA) are critically dependent on their sequence-specific statistical mechanics.
• The equilibrium behavior of dsNA is influenced by sequence-dependent shape deviations from ideal double helices and sequence-dependent stiffness affecting fluctuations.

Purpose of the Study:

• To present cgNA+web, an interactive, browser-based tool for visualizing the sequence-dependent ground states of dsNA fragments.
• To enable comparison of ground state shapes for different dsNA sequences and types.

Main Methods:

• Utilizes the cgNA+ coarse-grain model to predict sequence-dependent ground states of dsNA.
• Provides parameter sets for modeling double-stranded DNA (dsDNA), including modified CpG steps, double-stranded RNA (dsRNA), and DNA:RNA hybrids.
• Features a web interface for interactive visualization and comparison.

Main Results:

• The cgNA+web tool allows visualization of predicted ground state shapes for arbitrary dsNA sequences.
• It facilitates direct comparison of structural conformations between different sequences and types of dsNA.
• The server supports modeling of dsDNA, dsRNA, and DNA:RNA hybrids.

Conclusions:

• cgNA+web provides a valuable resource for researchers studying the relationship between nucleic acid sequence and structure.
• The tool aids in understanding the biophysical principles governing dsNA conformation and dynamics.
• It offers a user-friendly platform for exploring sequence-specific structural variations in nucleic acids.