Skip to Content
Honest framing: engineered self-assembly is mostly lab-scale. Nature already self-assembles; engineers program interactions; products are still limited.
DNA / Molecular

Molecular / DNA track

From Seeman’s branched junctions to origami, DNA bricks, colloids, and recent multifarious assembly.

Classroom DNA wet labs are deliberately not prescribed here (cost, equipment, biosafety programs). Use Experiment 10 — design/simulation only — unless you are in a proper lab program.

Story arc

1. Why DNA? — Seeman (1982)

Nadrian C. Seeman, Nucleic acid junctions and lattices, J. Theor. Biol.
DOI  · PubMed 

  • DNA can be a building material, not only genetic storage.
  • Immobile branched junctions form designed networks.
  • Sticky-end complementarity programs which pieces stick together.
  • Vision: 3D nucleic-acid lattices as scaffolds.

Beginner takeaway: Sequence design = programmable binding rules.

2. Tiles that compute — Winfree et al. (1998)

Winfree, Liu, Wenzler, Seeman, Design and self-assembly of two-dimensional DNA crystals, Nature
DOI 

  • DNA double-crossover molecules act like programmable Wang tiles.
  • Sticky ends encode edge matching; AFM shows patterned 2D crystals.
  • Links computation theory (tiling) to wet-lab nanotech.
  • Errors and defects already appear as a practical limit.

Beginner takeaway: Algorithmic self-assembly is experimentally real.

3. DNA origami — Rothemund (2006)

Paul W. K. Rothemund, Folding DNA to create nanoscale shapes and patterns, Nature
DOI  · Author PDF 

  • Scaffolded DNA origami: one long scaffold + many short staples → designed shape.
  • Arbitrary 2D shapes (~100 nm) in a single annealing step; ~6 nm “pixel” resolution.
  • Opened a practical CAD-like workflow for nanoscale shape design.

Beginner takeaway: The demo that made DNA nanotech visually iconic and teachable.
Watch: Shih iBiology Part 1 .

4. DNA bricks — Ke, Ong, Shih, Yin (2012)

Ke et al., Three-Dimensional Structures Self-Assembled from DNA Bricks, Science
DOI  · Author PDF 

  • Short DNA “bricks” (no long scaffold) assemble like LEGO voxels into 3D shapes.
  • Modular canvas (e.g. 10×10×10) → many structures by choosing which bricks to include.
  • Complements origami: discrete voxel library vs one scaffold design.

5. Colloidal DNA programming — Mirkin et al. (1996) → Jacobs & Rogers (2024)

Mirkin et al. (1996), A DNA-based method for rationally assembling nanoparticles…, Nature
DOI 

Jacobs & Rogers (2024), Assembly of Complex Colloidal Systems Using DNA (arXiv review)
arXiv:2409.08988 

  • DNA coatings program which colloids stick — sequence as interaction code.
  • Kinetics (nucleation, growth, trapping) matter as much as equilibrium design.
  • Temperature windows for crystallization can be extremely narrow.
  • Honest: powerful in lab; bulk applications still emerging.

6. Multifarious / nonequilibrium — Evans et al. (2024)

Evans, O’Brien, Winfree, Murugan, Pattern recognition in the nucleation kinetics…, Nature
DOI  · Supp 

  • One DNA-tile library can form multiple target shapes depending on concentration patterns.
  • Nucleation kinetics act like a classifier.
  • Research-grade (long anneals) — not a kitchen experiment.

7. Where the field is going (2025–2026 reviews)

PaperLinkHook
Duke et al. 2025 — Dynamic DNA superstructuresDOI Beyond static sculptures → machines/materials
Piranej et al. 2026 — Programming DNA machines to moveDOI Metrics vs biological motors; demystifies “nanorobots”
Lipid vesicle molecular robots (2024)DOI Soft “body” framing; field still in infancy

Theory companion

David Doty (2012), Theory of algorithmic self-assembly, CACM
DOI  · Author PDF 

Vocabulary: seed, growth frontier, cooperative binding, error correction.

Practice on this track

Last updated on
ConceptsRobots & Matter