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Molecular Computing [Electronic resources] - نسخه متنی

Tanya Sienko

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Table of Contents

Molecular Computing

Introduction - What Is Molecular Computing?

Chapter 1: Conformation-Based Computing - A Rationale and a Recipe

1.2 Algorithmic Complexity Rationale

1.3 Trade-Off Principle

1.4 Pertinent Molecular Properties

1.5 Example: Protein Solubility as a Language

1.6 Macro-Micro Interface

1.7 Prototype System

1.8 Multienzyme Response Surfaces: A Simulated Example

1.9 Architectures and Adaptive Procedures

1.10 Transformal Computing

Acknowledgments

Chapter 2: Molecular Recognition - Storage and Processing of Molecular Information

2.1 Definition of Molecular Recognition

2.2 Molecular Recognition: How to Do It Right the First Time

2.3 Examples of Molecular-Recognition Processes

2.4 Effects of Complexation

2.5 Multiple Recognition and its Applications

2.6 Molecular Recognition in Chemical Systems

2.7 Self-Assembly, Self-Recognition, and Self-Organization

2.9 Thermodynamics, Information, and Entropy

Chapter 3: Computing in Reaction-Diffusion and Excitable Media - Case Studies of Unconventional Processors

3.1 Reaction-Diffusion and Excitation

3.2 What Is a Reaction-Diffusion Processor?

3.3 How Do We Simulate Reaction-Diffusion Processors?

3.4 Specialized Processors

3.5 Plane Subdivision

3.6 Skeletonization

3.7 Reaction-Diffusion Robots

3.8 Computation Universal Processors

3.9 Stationary Circuits

3.10 Dynamical Circuits: Collision-Based Computing

3.11 Discovering Computing Abilities

3.12 Discussion

Chapter 4: Chemical-Based Computing and Problems of High Computational Complexity - The Reaction-Diffusion Paradigm

4.2 Complexity: Structural, Behavioral, and Computational

4.3 Behavioral Complexity of Biomolecular Systems

4.4 General Principles of Information Processing Inherent in Biomolecular and Simple Biological Entities

4.5 A Biomolecular Reaction-Diffusion Processor: Basic Principles

4.6 Amazing Belousov-Zhabotinsky Media

4.7 Image Processing by Belkousov-Zhabotinsky-Type Media

4.8 More Complicated Problem: Finding the Shortest Path in a Labyrinth

4.9 Recognition Capabilities of Coupled Reaction-Diffusion Systems

4.10 Numerical Modeling: From the Generation of Button Textures up to Pattern Formation in Ecological Systems

4.11 What Next: Toward a Biomolecular Computer?

Chapter 5: DNA Computing and Its Frontiers

5.2 The New World of DNA Computing

5.3 The Old World of DNA Computing

5.4 Conclusions

Chapter 6: Bioelectronics and Protein-Based Optical Memories and Processors

6.1 Bioelectronics versus Semiconductor Electronics

6.2 Bioelectronic Devices Based on Bacteriorhodopsin

6.3 Genetic Engineering of Proteins for Device Applications

Chapter 7: Bioelectronics and Biocomputers

7.3 Molecular Electronic Devices

7.4 Biocomputers

List of Figures

List of Sidebars

توضیحات

افزودن یادداشت جدید

Index

T

Tetrahedral recognition, molecular, 40

Thermodynamics, and molecular computation, 56-58

Thermodynamic limits on computation, xiv

Three-dimensional memory. See 3D (optical) memories

Time, needed in carrying out DNA computing, 156

Time, needed to carry wave through labyrinth, 128

Trade-off principle, xiii-xv, 4-5, 146-147

Tree graphs, tracing paths in, 122, 123, 127-128

Trigger waves in reaction-diffusion systems, velocity of, 125