Simulating networks of DNA nanomotifs

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Authors: Aaron Gadzekpo
Cited by: 0

Abstract

This record contains: -Scripts to parameterise bead-spring models of DNA nanomotifs using Bayesian optimisation -Scripts to run simulations using oxDNA or ReaDDy -Scripts to evaluate nanomotif structure, networking and rheological properties -oxDNA trajectories of single and paired DNA nanomotifs, obtained with umbrella sampling and MD simulations -ReaDDy trajectories of single, pairs and large networks of nanomotifs obtained with MD simulations -Version 2 includes treatment of Rouse and Zimm models and includes 3-armed nanomotifs Generation and analysis of the data was supported by the Helmholtz Association program Natural, Artificial and Cognitive Information Processing, the Helmholtz Initiative and Networking Fund on the HAICORE@KIT partition and by funding from the Carl-Zeiss-Stiftung via the Center SynGen.

Fields of Study & Subjects

Advanced biosensing and bioanalysis techniques Micro and Nano Robotics Supramolecular Self-Assembly in Materials

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
22 January 2026
Document type
Dataset