Programmable DNA Lattices: Design Synthesis & Applications

Slides:



Advertisements
Similar presentations
Ashish Goel, 1 A simple analysis Suppose complementary DNA strands of length U always stick, and those of length L never stick (eg:
Advertisements

DNA Self-Assembly For Constructing 3D Boxes Ming-Yang KaoVijay Ramachandran Northwestern UniversityYale University Evanston, IL, USANew Haven, CT, USA.
In the name of GOD. Zeinab Mokhtari 22-Sep-2010 Angew. Chem. Int. Ed. 2006, 45, 735 –739 Finite-Size, Fully Addressable DNA Tile Lattices Formed by Hierarchical.
Active Tile Self Assembly: Daria Karpenko Department of Mathematics and Statistics, University of South Florida Simulating Cellular Automata at Temperature.
An information-bearing seed for nucleating algorithmic self-assembly Presented by : Venkata Chaitanya Goli Robert D. Barish1, Rebecca Schulman1,
From Confocal Microscopy to Molecular Imagineering Dr. Michael L. Norton Department of Chemistry Marshall University 1:30 p.m.
1 SODA January 23, 2011 Temperature 1 Self-Assembly: Deterministic Assembly in 3D and Probabilistic Assembly in 2D Matthew CookUniversity of Zurich and.
Design of a biomolecular Device that executes process Algebra Urmi Majumder and John Reif Department of Computer Science Duke University DNA15, JUNE 10,
Self Assembly : Nature’s Way To Do It Arbel Artzy Schnirman Biology Seminar 2008 Part 1.
The Power of Seeds in Tile Self-Assembly Andrew Winslow Department of Computer Science, Tufts University.
Design of a Minimal System for Self-replication of Rectangular Patterns of DNA Tiles Vinay K Gautam 1, Eugen Czeizler 2, Pauline C Haddow 1 and Martin.
Mansi Mavani Graduate Student Department of Physics, OSU Stillwater
Jong-Sun Yi 1. Molecular self-assembly Many top down processes create patterns serially and require extreme conditions. (vacuum, temperature, etc.) Bottom-up,
Self-Assembly Ho-Lin Chen Nov Self-Assembly is the process by which simple objects autonomously assemble into complexes. Geometry, dynamics,
Abstract: Self-assembly is beginning to be seen as a practical vehicle for computation. The assembly of DNA-based tiles into 2D periodic arrays had been.
Topics in Biological Physics Design and self-assembly of two-dimensional DNA crystals Benny Gil 16/12/08 Fig3.a.
DNA Computing by Self Assembly  Erik Winfree, Caltech.
DNA: Not Merely the Secret of Life Bio-Inspired Bottom-Up Nanoscale Control of the Structure of Matter Nadrian C. Seeman Department of Chemistry New.
Impact on current processes Acknowledgments Literature Cited Abstract Minimum Pots for the Usual Suspects Recent exciting advances in DNA self-assembly.
S-layer proteins Potential Application in Nanobiotechnology.
What Is the Intellectual Goal of Structural DNA Nanotechnology? Controlling the Structure of Matter in 3D to the Highest Extent (Resolution) Possible,
Ashish Goel Stanford University Joint work with Len Adleman, Holin Chen, Qi Cheng, Ming-Deh Huang, Pablo Moisset, Paul.
DIGITAL COMPONENTS By Sohaib.
The Tile Complexity of Linear Assemblies Dept of Computer Science, Duke University Harish Chandran, Nikhil Gopalkrishnan, John Reif { harish, nikhil, reif.
DNA Based Self-Assembly and Nano-Device: Theory and Practice Peng Yin Committee Prof. Reif (Advisor), Prof. Agarwal, Prof. Hartemink Prof. LaBean, Prof.
Caltech collaboration for DNA-organized Nanoelectronics The Caltech DNA- nanoelectronics team.
DNA Self-Assembly for Molecular Patterning, Computation and Robotics John H. Reif Computer Science Department Duke University.
Molecular Computations Using Self-Assembled DNA Nanostructures and Autonomous Motors John H. Reif Department of Computer Science, Duke University 1.
Algorithmic self-assembly for nano-scale fabrication Erik Winfree Computer Science Computation & Neural Systems and The DNA Caltech DARPA NSF NASA.
Molecular Self-Assembly: Models and Algorithms Ashish Goel Stanford University MS&E 319/CS 369X; Research topics in optimization; Stanford University,
DNA Nanotubes: Construction and Characterization of Filaments Composed of TX-tile Lattice.
Powering the nanoworld: DNA-based molecular motors Bernard Yurke A. J. Turberfield University of Oxford J. C. Mitchell University of Oxford A. P. Mills.
4/4/20131 EECS 395/495 Algorithmic DNA Self-Assembly General Introduction Thursday, 4/4/2013 Ming-Yang Kao General Introduction.
Algorithmic Self-Assembly of DNA Sierpinski Triangles Ahn, Yong-Yeol Journal Club.
An Introduction to Algorithmic Tile Self-Assembly.
Presented by Pardeep Dhillon and Ehsan Fadaei
Protein delivery: DNA nanostructures and cell-surface targeting Harvard iGEM August 27, 2006.
TileSoft: Sequence Optimization Software for Designing DNA Secondary Structures P. Yin*, B. Guo*, C. Belmore*, W. Palmeri*, E. Winfree †, T. H. LaBean*
Towards Autonomous Molecular Computers Towards Autonomous Molecular Computers Masami Hagiya, Proceedings of GP, Nakjung Choi
Developing DNA nanotechnology for use in nanoelectronics
Molecular Self-Assembly: Models and Algorithms Ashish Goel Stanford University MS&E 319/CS 369X; Research topics in optimization; Stanford University,
Molecular Algorithms -- Overview
Computational and Experimental Design of DNA Devices
Molecular Self-Assembly: Models and Algorithms Ashish Goel Stanford University MS&E 319/CS 369X; Research topics in optimization; Stanford University,
Introduction to Tiling Assembly
Molecular Computation
KEY CONCEPT Infections can be caused in several ways.
Erik Luijten, Computational Soft Matter Lab
Tiing Error Correction & ExperimentsChen
DNA Self-Assembly Robert Schweller Northwestern University
Compact Error Resilient Computational DNA Tiling Assemblies
The host template and the guest molecule which form the helix
New Sensory Methods: Signal Amplification From Receptors
Strict Self-Assembly of Discrete Sierpinski Triangles
Fluorescent DNA Nanostructures for Applications in Sensors and Imaging
Self-Assembly Ho-Lin Chen Nov
John H. Reif and Sudheer Sahu
Self-Assembly of Any Shape with
DNA Hybridization Catalysts and Catalyst Circuits
Complexities for the Design of Self-Assembly Systems
A Unidirectional DNA Walker Moving Autonomously Along a Track
Sudheer Sahu John H. Reif Duke University
The Power of Nondeterminism in Self-Assembly
Protein delivery: DNA nanostructures and cell-surface targeting
KEY CONCEPT Infections can be caused in several ways.
Algorithmic self-assembly with DNA tiles Tutorial
Algorithmic self-assembly with DNA tiles
Algorithms for Robust Self-Assembly
At the Crossroads of Chemistry, Biology, and Materials
Finite Field Arithmetic using Self-Assembly of DNA Tilings
Presentation transcript:

Programmable DNA Lattices: Design Synthesis & Applications Duke University (PI John Reif) Subcontracts: NYU (Nadrian Seeman), Caltech (Erik Winfree & Niles Pierce) Scientific Objectives: Programmable construction of complex nanostructures of supramolecular (10-100 nm) scale: -DNA lattices with complex 2D patterning -periodic 3D DNA lattices. New Ideas: Molecular Self-assembly: -DNA strands self-assemble into DNA tile nanostructures. -DNA tiles self-assemble into periodic and aperiodic lattices. Algorithmic Self-assembly: -DNA tiles form DNA lattices with complex patterning. -Methodology is programmable by choice of DNA tiles. Nanostructure Templating and Patterning: -DNA lattice superstructure for other complex nanostructures. -Other molecular nanostructures attach to specific DNA strands within DNA lattices. Tiling Design for Binary Counter Impact to US defense: Protein structure determination via host-lattice crystals: -Periodic 3D DNA lattices capture proteins for X-ray diffraction. Key spin-off: Structural characterization of antigens from pathogens. Patterned DNA Lattice Technology: DNA nanostructures can serve as scaffolds for molecular sensors and actuators. Key Spin-off: identifying pathogens (e.g., bacteria). DNA lattices can be used as scaffolds for positioning molecular electronics components into complex circuits. Key Spin-off: Molecular Nanoelectronics. Schedule: Design of novel DNA tiles & lattices and support software Optimization algorithms for DNA design implemented. Patterned 2D DNA lattice: modest size (64 tiles) Periodic 3D DNA lattices: diffracting to 2.5 Å Characterization of error rates of self-assemblies Patterned 2D DNA lattices: moderate size(512 tiles) Periodic 3D DNA lattice: diffracting to 2.5 Å Self-assembly of 4-bit demultiplexing RAM Patterned 2D DNA lattices: thousands of tiles Periodic 3D DNA lattices: diffracting to 2.5 Å 2001 2002 2003 2004