Advances in Structural Biology: Applications in Protein Structure, Function, and Disease offers a comprehensive, practical resource that bridges the latest experimental and computational approaches in structural biology. Backed by real-world case studies, it demonstrates how these technologies can be utilized to serve a range of biological needs. The content spans foundational principles of protein structure and bioinformatics tools, cutting-edge methodologies such as cryogenic electron microscopy, and the transformative role of artificial intelligence (AI) and big data analytics in structural biology. It also considers applications including drug discovery, vaccine development, antiviral therapy, personalized medicine, and the structural basis of aging and neurodegenerative diseases. This book also explores systems integration approaches, combining structural and omics data to advance immunotherapy and cancer treatment, concluding with a look toward future trends in the field.
Advances in Structural Biology: Applications in Protein Structure, Function, and Disease provides a detailed investigation into the latest developments in structural and computational biology, sharing insights into integrative methodologies that combine both traditional and emerging technologies. This resource is invaluable for advanced students, researchers, and professionals aiming to harness structural biology for innovative solutions in precision medicine and translational research.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xv 7. About the editors - p. xxi 8. Acknowledgments - p. xxiii 9. Section I: Foundations: computational and conceptual - p. S1 10. Chapter 1. Unraveling protein function with structural biology approaches - p. 3 11. Chapter 2. Bioinformatics tools for protein modeling in neurodegenerative diseases - p. 31 12. Chapter 3. Bioinformatics tools for protein modeling in cancer - p. 59 13. Chapter 4. Unraveling protein folding and structural dynamics - p. 85 14. Section II: Methodologies: experimental and integrative techniques - p. S111 15. Chapter 5. Cryo-electron microscopy in membrane protein structural biology - p. 113 16. Chapter 6. Computational and artificial intelligence methodologies for big data analytics in structural biology - p. 145 17. Chapter 7. Big data enabled discovery in bioinformatics and structural biology - p. 193 18. Chapter 8. AI and machine learning in structural biology - p. 229 19. Chapter 9. Integrating structural and omics data for drug discovery - p. 253 20. Section III: Applications - p. S285 21. Chapter 10. Applications of structural biology in drug discovery - p. 287 22. Chapter 11. Structural biology approaches in vaccine development - p. 319 23. Chapter 12. Structural biology in antiviral drug design - p. 343 24. Chapter 13. Structural bioinformatics in personalized medicine - p. 381 25. Chapter 14. Structural biology in understanding bacterial resistance - p. 397 26. Chapter 15. Structural biology approaches in neurodegeneration and aging - p. 423 27. Chapter 16. Structural biology of protein misfolding and aggregation: from disease to therapeutic innovations - p. 471 28. Chapter 17. Integrated structural approaches in immunotherapy - p. 513 29. Section IV: Translational biology - p. S533 30. Chapter 18. Structural and systems biology in cancer therapy - p. 535 31. Chapter 19. Protein structural biology in precision medicine and clinical translation - p. 583 32. Chapter 20. Future trends in structural biology - p. 613 33. Index - p. 651
Advances in Structural Biology: Applications in Protein Structure, Function, and Disease offers a comprehensive, practical resource that bridges the latest experimental and computational approaches in structural biology. Backed by real-world case studies, it demonstrates how these technologies can be utilized to serve a range of biological needs. The content spans foundational principles of protein structure and bioinformatics tools, cutting-edge methodologies such as cryogenic electron microscopy, and the transformative role of artificial intelligence (AI) and big data analytics in structural biology. It also considers applications including drug discovery, vaccine development, antiviral therapy, personalized medicine, and the structural basis of aging and neurodegenerative diseases. This book also explores systems integration approaches, combining structural and omics data to advance immunotherapy and cancer treatment, concluding with a look toward future trends in the field.
Advances in Structural Biology: Applications in Protein Structure, Function, and Disease provides a detailed investigation into the latest developments in structural and computational biology, sharing insights into integrative methodologies that combine both traditional and emerging technologies. This resource is invaluable for advanced students, researchers, and professionals aiming to harness structural biology for innovative solutions in precision medicine and translational research.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xv 7. About the editors - p. xxi 8. Acknowledgments - p. xxiii 9. Section I: Foundations: computational and conceptual - p. S1 10. Chapter 1. Unraveling protein function with structural biology approaches - p. 3 11. Chapter 2. Bioinformatics tools for protein modeling in neurodegenerative diseases - p. 31 12. Chapter 3. Bioinformatics tools for protein modeling in cancer - p. 59 13. Chapter 4. Unraveling protein folding and structural dynamics - p. 85 14. Section II: Methodologies: experimental and integrative techniques - p. S111 15. Chapter 5. Cryo-electron microscopy in membrane protein structural biology - p. 113 16. Chapter 6. Computational and artificial intelligence methodologies for big data analytics in structural biology - p. 145 17. Chapter 7. Big data enabled discovery in bioinformatics and structural biology - p. 193 18. Chapter 8. AI and machine learning in structural biology - p. 229 19. Chapter 9. Integrating structural and omics data for drug discovery - p. 253 20. Section III: Applications - p. S285 21. Chapter 10. Applications of structural biology in drug discovery - p. 287 22. Chapter 11. Structural biology approaches in vaccine development - p. 319 23. Chapter 12. Structural biology in antiviral drug design - p. 343 24. Chapter 13. Structural bioinformatics in personalized medicine - p. 381 25. Chapter 14. Structural biology in understanding bacterial resistance - p. 397 26. Chapter 15. Structural biology approaches in neurodegeneration and aging - p. 423 27. Chapter 16. Structural biology of protein misfolding and aggregation: from disease to therapeutic innovations - p. 471 28. Chapter 17. Integrated structural approaches in immunotherapy - p. 513 29. Section IV: Translational biology - p. S533 30. Chapter 18. Structural and systems biology in cancer therapy - p. 535 31. Chapter 19. Protein structural biology in precision medicine and clinical translation - p. 583 32. Chapter 20. Future trends in structural biology - p. 613 33. Index - p. 651
