Modern Bioinformatics
From Molecular Insights to Biomedical Innovation
- 1st Edition - November 1, 2026
- Latest edition
- Editors: Kolla Bhanu Prakash, Saurav Mallik, Valentina Emilia Balas
- Language: English
Modern Bioinformatics from Molecular Insights to Biomedical Innovation explores the rapidly advancing field of bioinformatics, addressing a critical gap in current litera… Read more
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Description
Description
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.
Key features
Key features
- Offers comprehensive insights into advanced bioinformatics methods, emphasizing quantum computing and bio-sensing technologies
- Provides practical algorithms and tools for structural analysis, sequence alignment, and precise genomics exploration
- Includes real-world case studies in drug discovery, proteomics, and genomics to demonstrate computational bioinformatics applications
- Introduces innovative quantum biology and quantum biosensor techniques bridging quantum computing with biological research
- Serves as a multidisciplinary reference for academia and industry, integrating quantum computing with molecular diagnostics and biomarker discovery
Readership
Readership
Advanced researchers, graduate students, and professionals in bioinformatics, molecular biology, and biomedical engineering seeking to integrate quantum computing and nanotechnology into their work; It serves computational biologists, biophysicists, and data scientists aiming to deepen their understanding of molecular structures, AI-driven genomics, and innovative diagnostic tools
Table of contents
Table of contents
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
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 1, 2026
- Language: English
About the editors
About the editors
KP
Kolla Bhanu Prakash
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.
Affiliations and expertise
Professor and Research Group Head, CSE Department, KL University, IndiaSM
Saurav Mallik
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.
Affiliations and expertise
Research Scientist, Department of Pharmacology and Toxicology at The University of Arizona, USAVE
Valentina Emilia Balas
Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum Laude in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, and an expert evaluator for national and international projects and PhD theses.
Affiliations and expertise
Department of Automatics and Applied Software, Faculty of Engineering, “Aurel Vlaicu” University of Arad, Arad, Romania Academy of Romanian Scientists, Romania