Generative design-enabled exploration of wireframe DNA origami nanostructures

Recent advances in computer-aided design tools have helped rapidly advance the development of wireframe DNA origami nanostructures. Specifically, automated tools now exist that can convert an input polyhedral mesh into a DNA origami nanostructure, greatly reducing the design difficulty for wireframe DNA origami nanostructures. However, one limitation of these automated tools is that they require a designer to fully conceptualize their intended nanostructure, which may be limited by their own preconceptions. Here, a generative design framework is introduced capable of generating many wireframe DNA origami nanostructures without the need for a predefined mesh. User-defined objectives that guide the generative process are input as either single- or multi-objective optimization problems. A graph grammar is used to both contextualize physical properties of the DNA nanostructure and control the types of generated design features. This framework allows a designer to explore upon and ideate among many generated nanostructures that comply with their own unique constraints. A web-based graphical user interface is provided, allowing users to compare various generated solutions side by side in an interactive environment. Overall, this work illustrates how a constrained generative design framework can be implemented as an assistive tool in exploring design-feature trade-offs of wireframe DNA nanostructures, resulting in novel wireframe nanostructures.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-12-31
DOI
https://doi.org/10.1093/nar/gkae1268
Citations
3
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.70

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article

Generative design-enabled exploration of wireframe DNA origami nanostructures

Jonathan Cagan, R. E. Taylor, Anthony J Vetturini
3 citations
Nucleic Acids Research
Advanced biosensing and bioanalysis techniques
0.70
article

Generative design-enabled exploration of wireframe DNA origami nanostructures

Jonathan Cagan, R. E. Taylor, Anthony J Vetturini
article en
3 citations

Abstract

Recent advances in computer-aided design tools have helped rapidly advance the development of wireframe DNA origami nanostructures. Specifically, automated tools now exist that can convert an input polyhedral mesh into a DNA origami nanostructure, greatly reducing the design difficulty for wireframe DNA origami nanostructures. However, one limitation of these automated tools is that they require a designer to fully conceptualize their intended nanostructure, which may be limited by their own preconceptions. Here, a generative design framework is introduced capable of generating many wireframe DNA origami nanostructures without the need for a predefined mesh. User-defined objectives that guide the generative process are input as either single- or multi-objective optimization problems. A graph grammar is used to both contextualize physical properties of the DNA nanostructure and control the types of generated design features. This framework allows a designer to explore upon and ideate among many generated nanostructures that comply with their own unique constraints. A web-based graphical user interface is provided, allowing users to compare various generated solutions side by side in an interactive environment. Overall, this work illustrates how a constrained generative design framework can be implemented as an assistive tool in exploring design-feature trade-offs of wireframe DNA nanostructures, resulting in novel wireframe nanostructures.

Nucleic Acids ResearchVol. 53(2)
Carnegie Mellon University (US)
National Science Foundation, National Defense Science and Engineering Graduate, Division of Civil, Mechanical and Manufacturing Innovation, Air Force Office of Scientific Research
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Advanced biosensing and bioanalysis techniques
0.70
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Generative design-enabled exploration of wireframe DNA origami nanostructures — Jonathan Cagan, R. E. Taylor, et al. · Nucleic Acids Research (2024) | TGRS Research Map | TGRS