Recent Advances in Molecular Docking

Methods, Tools, and Applications

Paperback Engels 2026 9780443492532
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Recent Advances in Molecular Docking: Methods, Tools, and Applications offers an authoritative guide to modern molecular docking techniques, emphasizing the integration of artificial intelligence and machine learning. The volume covers foundational principles, computational workflows, and advanced scoring functions, providing researchers and practitioners with practical tools to improve drug-target interaction predictions. It highlights applications across pharmaceuticals, including cancer, neurological disorders, and infectious diseases, which are all supported by real-world case studies. Challenges in docking accuracy, reproducibility, validation, and ethical and regulatory considerations are also covered.

Authored by international experts, it bridges theoretical knowledge with practical applications, making it an essential resource for computational biologists, pharmacologists, and drug developers aiming to leverage AI-driven docking in precision medicine.

Specificaties

ISBN13:9780443492532
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

Section I: Fundamentals of Molecular Docking<br>1. Fundamentals of Molecular Docking: Concepts, Terminology, Docking Types, and Scoring Functions<br>2. Protein–Ligand Interaction and Binding Site Prediction<br>3. Databases for Molecular Docking: PDB, ChEMBL, ZINC, PubChem<br><br>Section II: Computational Methods and Workflows<br>4. Molecular Docking Workflows and Pipelines<br>5. Molecular Docking Tools and Their Benchmarking: A Practical Guide for Interdisciplinary Researchers<br>6. Quantum Mechanics and Molecular Mechanics (QM/MM) in Docking<br>7. Molecular Dynamics and Its Integration with Docking Studies<br><br>Section III: Advanced Techniques and Integrative Approaches<br>8. Docking Against GPCRs, Ion Channels, and Membrane Proteins<br>9. Ensemble and Multi-Target Docking Approaches for Polypharmacology in Drug Discovery<br>10. Virtual Screening and High-Throughput Docking: Finding Inhibitors Against P-gp Transporter for Treating Hepatocellular Carcinoma (HCC)<br><br>Section IV: Artificial Intelligence and Machine Learning in Docking<br>11. AI-Driven Molecular Docking: Machine Learning Models, Deep Learning Scoring, and Advanced Docking Frameworks<br>12. TAMARIND: A Unified Framework for Efficient and Accurate Ligand Docking via Deep Learning<br>13. Unifying AI Systems and Elastic Clouds for Scalable CUDA-Based Molecular Docking Using Task Dependency Trees<br><br>Section V: Applications in Drug Discovery and Therapeutics<br>14. Advances in Structure-Based Drug Design: Principles and Case Studies in Therapeutic Development<br>15. Docking in Cancer, Neurological Disorders, and Infectious Diseases<br>16. Drug Repurposing Using Docking Approaches<br>17. In Silico Study of Phytochemical, Synthetic, and Marine Compounds for Anti-Tubercular (Mycobacterium tuberculosis) Activity<br>18. Structure-Based Drug Designing Using Plant-Derived Compounds: Case Studies<br>19. Molecular Docking Meets Multi-Omics and Systems Biology: A New Era of Precision Therapeutics<br>20. Leveraging Digital Twin Technology with Multi-Omics and Molecular Docking for Precision Oncology<br><br>Section VI: Validation, Platforms, and Future Perspectives<br>21. Challenges in Docking Accuracy and Reproducibility<br>22. Correlation of Computational Molecular Docking Predictions with Experimental Outcomes<br>23. Cloud and HPC Platforms for Molecular Docking and Simulation<br>24. Ethical, Legal, and Regulatory Perspectives in Computational Drug Design

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€ 224,19
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        Recent Advances in Molecular Docking