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

Narayanan, Raghu Pradeep; Procyk, Jonah; Nandi, Purbasha; Prasad, Abhay; Xu, Yang; Poppleton, Erik; Williams, Dewight; Zhang, Fei et al. · ACS Nano · 2022

basic_science · Level V

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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 <i>in-silico</i> 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.

Medical subject headings