A unique emphasis is placed on the convergence of nanotechnology and quantum innovations in molecular diagnostics and biosensing, including quantum biosensors and quantum computing applications. The final sections focus on computational strategies for drug target identification, biomarker discovery, and clinical trial analysis, providing a holistic view of modern bioinformatics workflows. This book is an indispensable reference for advanced researchers, graduate students, and professionals in bioinformatics, molecular biology, and biomedical engineering seeking to integrate quantum computing and nanotechnology into their work.
Table of Contents
Part I. Exploring the World of Bioinformatics and Molecular Structures1. Introduction to Bio-informatics
2. Fundamentals of Protein structure
3. Fundamentals of DNA and RNA structure
4. Nano-molecular structure determination
5. Molecular visualisation
Part II. Advancements in Bioinformatics: From Molecular Structures to Functional Insights
6. Identifying structural domains in proteins
7. Inferring protein function from structure
8. Genome biology
9. Deep Learning for Protein Structure Prediction: The Case of AlphaFoldDeep Learning for Protein Structure Prediction: The Case of AlphaFold
Part III. Molecular Interactions and Computational Approaches in Bioinformatics
10. AI and Machine Learning in Genomics and Structural Bioinformatics
11. Protein- Nucleic acid interactions
12. Protein- protein interactions
13. Docking methods, ligand design
Part IV. Computational Techniques and Applications of Bioinformatics in Structural Biology and Drug Discovery
14. Homology modelling
15. RNA structural bioinformatics
16. Bioinformatics in drug discovery
17. Precision Medicine and Bioinformatics Applications
Part V. Forensic Bioinformatics: Techniques and Data Analysis in Molecular Biology
18. Forensic molecular biology
19. DNA extraction techniques
20. Statistical presentation of forensic data
21. Case Studies in Forensic Bioinformatics Applications
Part VI. Molecular Biology and Bioinformatics: From Genetic Engineering to Protein Evolution
22. Recombinant DNA and molecular cloning
23. RNA processing
24. Proteins: structure, function and evolution
Part VII. Nanotechnology and Quantum Innovations in Molecular Diagnostics and Biosensing
25. Nano arrays for molecular diagnostics
26. Nano-biosensors
27. Detection of biomarkers by nano-technology
28. Clinical applications of nano diagnostics
29. Quantum biosensors
30. Quantum Computing in Bioinformatics: Concepts and Applications
Part VIII. Computational Strategies and Biomarker Insights in Drug Discovery and Development
31. Computational approaches to drug target identification
32. Translational biomarkers in drug development
33. Data visualization and DDP process
34. Clinical trial failures and drug repositioning
35. Computational phenotypic assessment

