Biological Computing - A Convergence of Nanotechnology and LifeInspired Computation

Fouad Sabry

Beschreibung

In an era where biology and computing converge, Biological Computing unveils the profound impact of nanobiotechnology on science, medicine, and engineering. This book is a gateway to understanding how biological systems inspire computational models, drive innovation, and redefine the boundaries of technology. Designed for professionals, students, and enthusiasts alike, it presents a compelling synthesis of theory and application.

Chapters Brief Overview:

1: Biological computing – Explores the intersection of biology and computation, setting the foundation.

2: Reactome – Examines biochemical pathways as informationprocessing networks within living systems.

3: Molecular logic gate – Discusses how molecules perform logic operations, mimicking digital circuits.

4: Multistate modeling of biomolecules – Analyzes biomolecular dynamics for computational applications.

5: Wetware computer – Introduces biocomputers using living cells as functional computational units.

6: Nanobiotechnology – Highlights the role of nanoscale biological tools in computational advancements.

7: Aptamer – Covers synthetic molecules that bind to targets with high specificity, aiding computation.

8: Transcriptor – Explains transistorlike biological components essential for genetic circuit design.

9: Bioinformatics – Details computational techniques for analyzing biological data and genomic sequences.

10: Metabolome – Investigates metabolic networks and their potential for biological computation.

11: Gene regulatory network – Describes gene interactions as complex computational decision systems.

12: Biomolecular engineering – Discusses the design and optimization of biological computing elements.

13: Synthetic biology – Explores engineered biological systems capable of executing computational tasks.

14: DNA computing – Showcases DNA as a medium for encoding, storing, and processing information.

15: Biophysics – Examines physical principles underlying molecularscale biological computations.

16: Chemical computer – Investigates chemical reactions as computational processes beyond traditional computing.

17: Natural computing – Explores computational paradigms inspired by natural biological mechanisms.

18: Metabolic network modeling – Discusses frameworks for simulating metabolic processes computationally.

19: Computational gene – Explains the digital representation of genes and their computational significance.

20: Metabolic engineering – Shows how metabolic pathways are designed for optimized computational efficiency.

21: Genomics – Examines largescale genetic data analysis and its impact on computational biology.

By bridging molecular science and computation, Biological Computing presents a transformative perspective on problemsolving in modern science and engineering. Whether you're a researcher, student, or enthusiast, this book unlocks the potential of nanobiotechnology in reshaping our digital and biological future.

Verfügbar seit: 16.03.2025.

Drucklänge: 304 Seiten.

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