Modern Bioinformatics

From Molecular Insights to Biomedical Innovation
Erscheinungsjahr 2026
ISBN: 978-0-443-45349-6
Verlag: Elsevier Science

Buch, Englisch, 350 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 449 g

Modern Bioinformatics from Molecular Insights to Biomedical Innovation explores the rapidly advancing field of bioinformatics, addressing a critical gap in current literature by integrating quantum biology and quantum biosensors with computational bioinformatics. As quantum computing and nanotechnology revolutionize biomedical research, this book emerges as an essential resource for researchers navigating these interdisciplinary domains. It caters to the growing need for comprehensive material that bridges molecular biology, computational methods, and cutting-edge innovations, empowering scientists to harness the full potential of bioinformatics in understanding complex biological systems and developing novel diagnostic and therapeutic strategies. Organized into eight thematic sections, the book offers a thorough exploration of bioinformatics from foundational concepts to translational applications. It begins with molecular structures of proteins, DNA, and RNA, advancing through nano-molecular visualization and structural domain analysis. Readers gain insights into deep learning techniques like AlphaFold for protein structure prediction, AI applications in genomics, and molecular interactions critical to function. The text further covers computational methods in drug discovery, forensic bioinformatics, and molecular evolution. 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.

Autoren/Hrsg.

Prakash, Kolla Bhanu

Mallik, Saurav

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

Part I. Exploring the World of Bioinformatics and Molecular Structures
1. 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

Über Autor(innen)

Mallik, Saurav
Dr. Saurav Mallik is a Research Scientist in the Department of Pharmacology and Toxicology at The University of Arizona, USA. He previously served as a Postdoctoral Fellow at Harvard T.H. Chan School of Public Health (2019-2022) and held positions at the University of Texas Health Science Center at Houston (2018-2019) and the University of Miami Miller School of Medicine (2017-2018). Dr. Mallik earned his PhD in Computer Science and Engineering from Jadavpur University, India, in 2017, conducting research at the Indian Statistical Institute. He received a Research Associateship from CSIR, India, in 2017. With over 150 publications in high-impact journals, he has authored several books and patents. Dr. Mallik is an active member of IEEE, ACM, AACR, and Bioclues, and has collaborated with editors and reviewers for prestigious journals. His research focuses on Computational Biology, Bioinformatics, Bio-Statistics, and Machine Learning.

Prakash, Kolla Bhanu
Dr. Kolla Bhanu Prakash is a Professor and Research Group Head in the CSE Department, KL University, India. His current research interests include Deep Learning, Data Science, Smart Grids and Image Processing.