oxDNA.org

oxDNA.org provides coarse-grained molecular dynamics simulations of DNA and RNA nanostructures using the oxDNA and oxRNA models for prototyping and analyzing nanostructure designs.


Key Features:

  • oxDNA and oxRNA models: Implements the oxDNA and oxRNA coarse-grained nucleotide-level models for DNA and RNA nanostructure simulations.
  • Automated simulation setup: Automatically generates simulation input files and implements a multi-step relaxation protocol for structures exported in non-physical states.
  • Equilibrium sampling: Performs equilibrium sampling of assembled designs to assess structural stability and conformational ensembles.
  • GPU-accelerated execution: Executes molecular dynamics simulations on GPU-enabled high-performance computing infrastructure for accelerated sampling.
  • Visualization and analysis: Provides trajectory visualization and analysis via oxView for exploration of simulation results.

Scientific Applications:

  • Design prototyping: Prototyping and evaluating DNA and RNA nanostructure designs using coarse-grained dynamics.
  • Stability assessment: Assessing thermodynamic and structural stability of assembled nanostructures under simulated conditions.
  • Design rationalization and optimization: Rationalizing complex nanostructure behavior and informing iterative design optimization.

Methodology:

Coarse-grained molecular dynamics using the oxDNA and oxRNA models; automated generation of simulation input files; multi-step relaxation protocols for non-physical starting states; equilibrium sampling of assembled designs; GPU-accelerated execution; trajectory visualization via oxView.

Topics

Details

License:
GPL-3.0
Tool Type:
web application
Programming Languages:
Python
Added:
11/1/2021
Last Updated:
11/24/2024

Operations

Publications

Poppleton E, Romero R, Mallya A, Rovigatti L, Šulc P. OxDNA.org: a public webserver for coarse-grained simulations of DNA and RNA nanostructures. Nucleic Acids Research. 2021;49(W1):W491-W498. doi:10.1093/nar/gkab324. PMID:34009383. PMCID:PMC8265093.

PMID: 34009383
PMCID: PMC8265093
Funding: - National Science Foundation: 1931487

Links