Coarse-Grained Simulations for the Characterization and Optimization of Hybrid Protein-DNA Nanostructures

Raghu Pradeep Narayanan, Jonah Procyk, Purbasha Nandi, Abhay Prasad, Yang Xu, Erik Poppleton, Dewight Williams, Fei Zhang, Hao Yan, Po Lin Chiu, Nicholas Stephanopoulos, Petr Šulc

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We present here the combination of experimental and computational modeling tools for the design and characterization of protein-DNA hybrid nanostructures. Our work incorporates several features in the design of these nanostructures: (1) modeling of the protein-DNA linker identity and length; (2) optimizing the design of protein-DNA cages to account for mechanical stresses; (3) probing the incorporation efficiency of protein-DNA conjugates into DNA nanostructures. The modeling tools were experimentally validated using structural characterization methods like cryo-TEM and AFM. Our method can be used for fitting low-resolution electron density maps when structural insights cannot be deciphered from experiments, as well as enable in-silico validation of nanostructured systems before their experimental realization. These tools will facilitate the design of complex hybrid protein-DNA nanostructures that seamlessly integrate the two different biomolecules.

Original languageEnglish (US)
Pages (from-to)14086-14096
Number of pages11
JournalACS nano
Volume16
Issue number9
DOIs
StatePublished - Sep 27 2022

Keywords

  • DNA nanotechnology
  • coarse-grained models
  • cryo-EM fitting
  • molecular dynamics
  • protein-DNA

ASJC Scopus subject areas

  • General Materials Science
  • General Engineering
  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Coarse-Grained Simulations for the Characterization and Optimization of Hybrid Protein-DNA Nanostructures'. Together they form a unique fingerprint.

Cite this