Peng Yin… Presented by Sung-kyu Kim

Slides:



Advertisements
Similar presentations
A Mechanical Turing Machine: Blueprint for a Biomolecular Computer Udi Shapiro Ehud Shapiro.
Advertisements

Reducibility 2 Theorem 5.1 HALT TM is undecidable.
1 DNA Computing: Concept and Design Ruoya Wang April 21, 2008 MATH 8803 Final presentation.
Genetics Making a model of DNA. Objective: I can discuss how cells pass on Genetic Information.
A Mechanical Turing Machine: Blueprint for a Biomolecular Computer
Fig. 3-1, p. 67. Fig. 3-2, p. 67 Fig. 3-3, p. 68.
DNA Replication. Cell Division and DNA Replication Cells divide -->Growth, Repair, Replacement Before cells divide they have to double cell structures,
 Restriction Enzymes are part of the essential tools of genetic engineering. They have the ability to cut DNA molecules at very precise sequences of.
Presented by Ravi Teja Pampana
Section 20.3 – DNA and Biotechnology. DNA and Biotechnology  Carpenters require tools such as hammers, screwdrivers, and saws, and surgeons require scalpels,
Autonomous DNA Nanomechanical Device Capable of Universal Computation and Universal Translational Motion Peng Yin*, Andrew J. Turberfield †, Sudheer Sahu*,
The Design of Autonomous DNA Nanomechanical Devices: Walking and Rolling John H. Reif Duke University.
Autonomous DNA Walking Devices Peng Yin*, Andrew J. Turberfield †, Hao Yan*, John H. Reif* * Department of Computer Science, Duke University † Department.
DNA Based Self-Assembly and Nano-Device: Theory and Practice Peng Yin Committee Prof. Reif (Advisor), Prof. Agarwal, Prof. Hartemink Prof. LaBean, Prof.
Cellular Automata & DNA Computing 우정철. Definition Of Cellular Automata Von Von Neuman’s Neuman’s Definition Wolfram’s Wolfram’s Definition Lyman.
Restriction Enzymes. What Are Restriction Enzymes? Endonucleases produced by prokaryote organisms that are capable of cutting DNA at specific sequences.
Lecture 9  2010 SDU Lecture9: Turing Machine.  2010 SDU 2 Historical Note Proposed by Alan Turing in 1936 in: On Computable Numbers, with an application.
Turing Machines Lecture 26 Naveen Z Quazilbash. Overview Introduction Turing Machine Notation Turing Machine Formal Notation Transition Function Instantaneous.
Molecular Computation and Splicing Systems J.H.M. Dassen, Summarized by Dongmin Kim
Donghyun (David) Kim Department of Mathematics and Computer Science North Carolina Central University 1 Chapter 5 Reducibility Some slides are in courtesy.
The genetic engineers toolkit A brief overview of some of the techniques commonly used.
Biomolecular Implementation of Computing Devices with Unbounded Memory Matteo CAVALIERE, Nataša JONOSKA, Nadrian C. SEEMAN. Department of Computer Science.
Topics to cover Biological origin and function of restriction enzymes
Nucleus Control center of the cell
Non-Autonomous DNA based Nanorobotical devices
Autonomous DNA Walking Devices
Turing Machines.
OTHER MODELS OF TURING MACHINES
Protein Synthesis.
KEY CONCEPT DNA replication copies the genetic information of a cell.
Chapter 9 TURING MACHINES.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
Answer in your packets!!! 
Fold How important was this?
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
The Off-Line Machine Input File read-only (once) Input string
Molecular computing: Does DNA compute?
Horn Clause Computation by Self-Assembly of DNA Molecules
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
General Animal Biology
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
Science, Computing and Society Week 7 Chapter 5
Replication copies the genetic information.
Tamar Ratner, Ron Piran, Natasha Jonoska, Ehud Keinan 
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
CHAPTER 17 FROM GENE TO PROTEIN
8.3 DNA replication.
Enzymes Essential Question: How do enzymes work and what is their role in DNA replication?
KEY CONCEPT DNA replication copies the genetic information of a cell.
An Overview of the Process
KEY CONCEPT DNA replication copies the genetic information of a cell.
Hui Yang, Dinshaw J. Patel  Molecular Cell 
Srabani Mukherjee, Luis G. Brieba, Rui Sousa  Cell 
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
KEY CONCEPT DNA replication copies the genetic information of a cell.
Crystal Structure of a Smad MH1 Domain Bound to DNA
General Animal Biology
Suppression of DNA-Mediated Charge Transport by BamHI Binding
Presentation transcript:

Peng Yin… Presented by Sung-kyu Kim Design of an Autonomous DNA Nanomechanical Device Capable of Universal Computation and Universal Translation Motion Peng Yin… Presented by Sung-kyu Kim

Universal Turing Machine Read-write head : head has internal state q Linear tape of cell : each cell has a color c Color of the cell and the state of the head together determines a transition Smallest Turing machine capable of universal computation is 2-state 5-color Turing machine A universal Turing machine with 2-state 5-colors © 2004 SNU CBIT (Center for Bioinformation Technology)

Structural overview (1/2) H: Head-molecules S: Symbol-molecules q: state {QA = LONG, QB = SHORT} c: color {CA, CB, CC, CD, CE} p: position {PA, PB, PC}, position type of Head-molecules An information encoding scheme : Xa[y]b X: duplex portion of DNA strand [y]: sticky end portion a, b are state/color/position encoded in X, [y] respectively is complementary sticky end of [y] © 2004 SNU CBIT (Center for Bioinformation Technology)

Structural overview (2/2) © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) 4 endonucleases The recognition site of an enzyme is bounded by a box and the cleavage site indicated with a pair of bold arrows The symbol ‘-’ can be anything of ATGC © 2004 SNU CBIT (Center for Bioinformation Technology)

Operational overview - terms H: Head-molecule S: Symbol-molecule R: Rule-molecule A: Assisting-molecule [s]: active sticky end -> active Head-molecule - R & A are floating. © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Operational overview Stage 1 Active Head-molecule interacts with Symbol molecule below it Stage 2 New S and H are ligated to floating Rs. (2), (4) Stage 3 S is modified by an A. H hybridize with either side of H (left or right) Stage 4 First H is restored to its inactive configuration Second H becomes active H © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Active Head-molecule Operational overview (1) (5) (3) (4) (6) (7,8) (2) © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Implementation step Each step consists of ligation and cleavage events Configuration of the Head-molecules array along the Head-track is ^ denotes active configuration Symbol molecules array along the Symbol-track © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 1 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 2 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 3 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 4 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 5 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 6 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 7 © 2004 SNU CBIT (Center for Bioinformation Technology)

© 2004 SNU CBIT (Center for Bioinformation Technology) Step 8 © 2004 SNU CBIT (Center for Bioinformation Technology)

Overview of the operation © 2004 SNU CBIT (Center for Bioinformation Technology)