Logical computation using algorithmic self-assembly of DNA triple-crossover molecules

By C. Mao, T. LaBean, J. Reif, Nadrian C. Seeman. Nature, 2000

729 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/7a212b81eced0408c66c2957b5d713580f18a3ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. Erik Winfree
2. Nadrian C. Seeman
3. Yaakov Benenson
4. David Soloveichik

In Molecular Biology

1. Nadrian C. Seeman
2. Yaakov Benenson
3. Paul Wilhelm Karl Rothemund
4. Erik Winfree
5. Hao Yan
6. Yan Liu
7. Nick Papadakis
8. Baoquan Ding

Citations in the corpus

• Algorithmic Self-Assembly of DNA Sierpinski Triangles (2004, background): “…et al. 1999; LaBean et al. 2000b); the interactions between these tiles can be programmed by sequence-specific hybridization (Winfree et al. 1998a; Mao et al. 2000); cooperative binding of multiple domains ensures specificity—the right tile attaches in the right place (Winfree et al. 1998b; Mao…”
• DNA computing circuits using libraries of DNAzyme subunits. (2010, background): “Triggering the system with both inputs, I1 and I2, results in the formation of the energetically favoured duplex between (6) and (7) (DG8≈ 260 kcal mol(21), compared to DG8≈ 214 kcal mol(21) for the duplex structures between the inputs and the DNAzyme subunits, where DG8 correspond to the free energ”
• Biomolecular computing systems: principles, progress and potential (2012, background): “7a) and later for an aperiodic assembly that computed four consecutive XOR operations 104 .”
• Terahertz Frequency Sensing and Imaging: A Time of Reckoning Future Applications? (2005, background): “Seeman of New York University [76], [77] and that have already been applied to demonstrated molecular crystals [78], nanoscale devices [79], [80], and DNA computers [81].”
• Nanomaterials Based on DNA (2010, background): “This problem derives from the fact that correct tiles in periodic assembly are competing only with incorrect tiles for a slot in the growing array, whereas in algorithmic assembly, correct tiles are competing with half-correct tiles (41, 64).”
• DNA-Templated Self-Assembly of Protein Arrays and Highly Conductive Nanowires (2003, background): “2002; Li and Tan 2002; Sherman and Seeman 2004; Ding and Seeman 2007), and nanocomputation (Adleman 1994; Liu et al. 2000; Mao et al. 2000).”