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. 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. Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, at Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research spans intelligent systems, computational intelligence, applied informatics, and engineering applications. Dr. Balas serves as Editor-in-Chief of International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and is a member of the editorial boards of several international journals. She is actively involved in the evaluation of national and international research projects and doctoral theses, and contributes to scholarly initiatives that support the advancement of intelligent and computational systems research.

• Part I. Exploring the World of Bioinformatics and Molecular Structures1. Introduction to Bio-informatics2. Fundamentals of Protein structure3. Fundamentals of DNA and RNA structure4. Nano-molecular structure determination5. Molecular visualisationPart II. Advancements in Bioinformatics: From Molecular Structures to Functional Insights6. Identifying structural domains in proteins7. Inferring protein function from structure8. Genome biology9. Deep Learning for Protein Structure Prediction: The Case of AlphaFoldDeep Learning for Protein Structure Prediction: The Case of AlphaFoldPart III. Molecular Interactions and Computational Approaches in Bioinformatics10. AI and Machine Learning in Genomics and Structural Bioinformatics11. Protein- Nucleic acid interactions12. Protein- protein interactions13. Docking methods, ligand designPart IV. Computational Techniques and Applications of Bioinformatics in Structural Biology and Drug Discovery14. Homology modelling15. RNA structural bioinformatics16. Bioinformatics in drug discovery17. Precision Medicine and Bioinformatics ApplicationsPart V. Forensic Bioinformatics: Techniques and Data Analysis in Molecular Biology18. Forensic molecular biology19. DNA extraction techniques20. Statistical presentation of forensic data21. Case Studies in Forensic Bioinformatics ApplicationsPart VI. Molecular Biology and Bioinformatics: From Genetic Engineering to Protein Evolution22. Recombinant DNA and molecular cloning23. RNA processing24. Proteins: structure, function and evolutionPart VII. Nanotechnology and Quantum Innovations in Molecular Diagnostics and Biosensing25. Nano arrays for molecular diagnostics26. Nano-biosensors27. Detection of biomarkers by nano-technology28. Clinical applications of nano diagnostics29. Quantum biosensors30. Quantum Computing in Bioinformatics: Concepts and ApplicationsPart VIII. Computational Strategies and Biomarker Insights in Drug Discovery and Development31. Computational approaches to drug target identification32. Translational biomarkers in drug development33. Data visualization and DDP process34. Clinical trial failures and drug repositioning35. Computational phenotypic assessment

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