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Related Concept Videos

RNA Interference01:23

RNA Interference

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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
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RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle
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Systematic coarse-grained modeling of complexation between small interfering RNA and polycations.

Zonghui Wei1, Erik Luijten1

  • 1Graduate Program in Applied Physics, Northwestern University, Evanston, Illinois 60208, USA.

The Journal of Chemical Physics
|January 3, 2016
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Summary

We developed a coarse-grained model for polymeric gene delivery carriers, significantly accelerating simulations. This model accurately predicts interactions between small interfering RNA (siRNA) and polyethyleneimine copolymers for effective gene delivery applications.

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Area of Science:

  • Biomaterials Science
  • Computational Chemistry
  • Molecular Modeling

Background:

  • All-atom molecular dynamics simulations offer detailed insights into polymer-nucleic acid interactions for gene delivery.
  • Simulating nanoparticle formation and behavior at experimental scales requires computationally efficient models.

Purpose of the Study:

  • To develop and validate a coarse-grained model for simulating the complexation of small interfering RNA (siRNA) with grafted polyethyleneimine (PEI) copolymers.
  • To enable quantitative investigation of nanoparticle formation for gene delivery applications.

Main Methods:

  • Systematic development of a coarse-grained model for siRNA-PEI copolymer complexes.
  • Comparison of coarse-grained model predictions against all-atom molecular dynamics simulations.
  • Validation of binding patterns, charge characteristics, and water release kinetics.

Main Results:

  • The coarse-grained model accurately reproduces detailed binding patterns between siRNA and PEI copolymers.
  • Model predictions align with all-atom simulations regarding charge characteristics and water release kinetics.
  • Simulations are accelerated by one to two orders of magnitude, enabling larger-scale investigations.

Conclusions:

  • The developed coarse-grained model provides a reliable and efficient tool for studying polymeric gene-delivery systems.
  • This model facilitates quantitative investigation of nanoparticle formation and behavior at experimentally relevant scales.
  • The accelerated simulations pave the way for optimizing siRNA delivery systems using cationic copolymers.