Introduction to the Protein Code : A Beginner's Guide to Topological Proteomics, Multi¿Omics, and the Shape of Human Biology
Language: English
Published by Independently Published Mai 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 39.41
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- Title
- Introduction to the Protein Code : A Beginner's Guide to Topological Proteomics, Multi¿Omics, and the Shape of Human Biology
- Author
- C. Louis-Charles
- Publisher
- Independently Published Mai 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798198459199
- Item weight
- 517 grams
- Dimensions
- 229x152x20 mm
- Series
- Book 1 of 4: Understanding Human Biology
Inside this book, readers will learn how to:
• Understand how proteins drive every cellular process and why they reveal disease earlier than genes
• Interpret mass spectrometry data and modern proteomics workflows with confidence
• See how AI models like AlphaFold reshape drug discovery and structural biology
• Decode the complexity of post‑translational modifications and their role in disease
• Apply multi‑omics thinking to connect DNA, RNA, proteins, and metabolites
• Recognize how topology uncovers hidden biological patterns in high‑dimensional data
• Explore the rise of spatial proteomics and its impact on cancer and precision medicine
• Follow how protein networks break down in disease and how new therapies target interactions
• Understand the future of digital twins, protein design, and next‑generation diagnostics
Proteins are the cell’s workforce, and their shapes, interactions, and modifications determine whether a system thrives or fails. While the genome provides the blueprint, the proteome reveals the living city—its traffic, breakdowns, repairs, and hidden pathways. Modern instruments can now measure thousands of proteins at once, uncovering patterns that predict disease years before symptoms appear. AI systems can model structures that once took years to solve. Mathematical tools can map the shape of biological data, revealing loops, branches, and transitions that traditional statistics cannot detect.
This book brings these breakthroughs together, showing how mass spectrometry, computational modeling, and topological analysis converge into a new era of biological insight. Readers will see how multi‑omics integrates the genome, transcriptome, proteome, and metabolome into a coherent picture of human biology. They will understand why protein misfolding drives neurodegeneration, how PTMs rewrite cellular logic, and how spatial proteomics reveals the architecture of tissues in unprecedented detail.
Whether you work in biotech, medicine, data science, or simply want to understand the next decade of biological innovation, this guide provides the clarity and depth needed to navigate the rapidly evolving landscape of proteomics and systems biology. It is a roadmap to the technologies reshaping diagnostics, therapeutics, and the future of personalized medicine.
"Synopsis" may belong to another edition of this title.
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