AI Article Synopsis

  • The study presents design principles for improving the accuracy of DNA origami folding by using a model that simplifies the routing of DNA strands to shortest-path problems in weighted graphs.
  • This approach incorporates a thermodynamic model that evaluates the binding and folding processes based on energy contributions.
  • The results showed significant improvements in the folding yield of redesigned shapes, with enhancements ranging from 6 to 30 times compared to the original designs, illustrating the effectiveness of the proposed methods.

Article Abstract

We describe design principles for accurate folding of three-dimensional DNA origami. To evaluate design rules, we reduced the problem of DNA strand routing to the known problem of shortest-path finding in a weighted graph. To score candidate DNA strand routes we used a thermodynamic model that accounts for enthalpic and entropic contributions of initial binding, hybridization, and DNA loop closure. We encoded and analyzed new and previously reported design heuristics. Using design principles emerging from this analysis, we redesigned and fabricated multiple shapes and compared their folding accuracy using electrophoretic mobility analysis and electron microscopy imaging. Redesigned shapes showed 6- to 30-fold improvements in yield compared to original designs. We demonstrate accurate folding can be achieved by optimizing staple routes using our model and provide a computational framework for applying our methodology to any design.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11621765PMC
http://dx.doi.org/10.1073/pnas.2406769121DOI Listing

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