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Full Description
This new book takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designing.
The book describes algorithms used for drug designing and the use of machine learning and AI in drug delivery and disease diagnosis, which are valuable in clinical decision-making. The implementation of robotics in different diseases like stroke, cancer, COVID-19, etc. is also addressed. Topics include machine learning, AI, databases in drug design, molecular docking, bioinformatics tools, target-based drug design, and immunoinformatics, chemoinformatics, and nanoinformatics in drug design. Drug repurposing in drug design in general as well as for specific diseases, including cancer, Alzheimer's disease, tuberculosis, COVID-19, etc., is also addressed in depth.
Contents
PART 1: SCIENTIFIC APPROACHES TO DATA RETRIEVAL AND THE ROLE OF AI 1. Machine Learning for Drug Designing 2. Intervention of Artificial Intelligence in Disease Diagnosis PART 2: COMPUTATIONAL APPROACHES AND BIOINFORMATICS INFORMATION AND APPLICATIONS 3. Bioinformatics for Determining the Active Site of the Target Protein 4. Molecular Docking: A Pertinent Computational Tool in Modern Drug Designing and Discovery 5. Bioinformatics Tools to Study Homology Modeling 6. Target-Based Drug Designing 7. Immunoinformatics in Drug Designing 8. Chemoinformatics in Drug Designing PART 3: DRUG REPURPOSING 9. Drug Repurposing as an Emerging Field in Drug Designing 10. Databases in Drug Design 11. Computational Approach for Drug Repurposing PART 4: RESEARCH APPLICATIONS OF COMPUTER-AIDED DRUG DESIGNING (CADD) AND DRUG REPURPOSING 12. De Novo Drug Design Using Computational Tools: Inhibition of CoaBC for Tuberculosis Treatment as a Case Study 13. Role of Artificial Intelligence in Retrosynthesis Analysis of Natural Products for Drug Design 14. Drug Repurposing in the Quest for Newer Therapeutic Options against Cancer 15. Computational Approaches to Discover Novel Phytochemical Inhibitors Against Novel Coronavirus (SARS-CoV-2) 16. Insights into Computational Repurposing of Drugs for Alzheimer's Disease 17. Drug Design and Discovery 18. Sodium-Proton Transporter Proteins: Clinical Significance as a Potential Drug Target 19. Nanoinformatics and Its Role in Drug Designing and Discovery 20. In silico Homology Modeling to Identify the Anti-Inflammatory Proteins from Raphanus sativus and Brassica olerecea
