Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques

Specificaties
Gebonden, blz. | Engels
Elsevier Science | e druk, 2025
ISBN13: 9780443346491
Rubricering
Elsevier Science e druk, 2025 9780443346491
Onderdeel van serie Advances in Pharmacology
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques is an essential guide for professionals, researchers, and students in the pharmaceutical and biotech industries, providing an in-depth look at how computational methods transform drug development. This book explores advanced tools like molecular modeling, machine learning, and AI-driven design, which accelerate drug discovery, enhance target identification, and improve clinical outcome predictions. Through real-world applications and case studies, readers gain practical insights into the benefits of computational approaches in managing data, optimizing leads, and predicting drug efficacy and safety. Emphasizing a multidisciplinary approach, it bridges chemistry, biology, and informatics, addressing both the technical and ethical dimensions of these innovations. This book is a roadmap to the future of medicine, revealing how computational advancements are reshaping the landscape of drug discovery.

Specificaties

ISBN13:9780443346491
Taal:Engels
Bindwijze:Gebonden

Inhoudsopgave

1. Innovative Computational Approaches in Drug Discovery and Design<br>Himansu Bhusan Samal<br>2. Advanced Molecular Modeling of Proteins: Methods, Breakthroughs, and Future Prospects<br>Gatadi Srikanth<br>3. Predictive Cavity and Binding Site Identification: Techniques and Applications<br>Shilpa Chandel<br>4. ADMET Tools in the Digital Era: Applications and Limitations<br>Sonali S. Shinde, Prabhanjan Giram, Pravin S. Wakte and Sachin S. Bhusari<br>5. Essential Database Resources for Modern Drug Discovery<br>Dr. Kuldeep Vinchurkar Sr.<br>6. Deep Learning for Drug Design and Development<br>Dr. Sushanta Kumar Das, Saumendu Deb Roy, Rahul Mishra, Amit Samanta and Dibyendu Shil<br>7. Molecular Docking and Structure-Based Drug Design: From Theory to Practice<br>Manasvi Saini<br>8. Molecular Dynamics Simulations: Insights into Protein and Protein-Ligand Interactions<br>Geeta Deswal<br>9. Targeting Disease: Computational Approaches for Drug Target Identification<br>Puneet Gupta<br>10. High-throughput computational Screening for Lead Discovery and Development<br>S. Neelufar Shama<br>11. Harnessing Machine Learning for Rational Drug Design<br>Kalpana Pravin Rahate<br>12. Identifying Novel Drug Targets with Computational Precision<br>Riya Dave<br>13. Computational Exploration of Viral Cell Membrane Structures for Identifying Novel Therapeutic Target<br>Hridoy R. Bairagya<br>14. The Translational Impact of Bioinformatics on Traditional Wet Lab Techniques<br>Reshmi Ramakrishnan<br>15. Pharmacophore Modeling in Drug Design<br>Yasmin Hamid Momin<br>16. Emerging Horizons of AI in Pharmaceutical Research<br>Somnath Das<br>17. Integrative Computational Approaches in Pharmaceuticals: Driving Innovation in Discovery and Delivery<br>Nikhil Rajnani<br>18. Innovations in vaccine design: computational tools and techniques<br>Syed Tasleem Raza<br>19. Real-world applications of Molecular Docking in Drug Discovery<br>Somenath Dutta<br>20. Challenges and Limitations of Computer-Aided Drug Design<br>Souvik Sur<br>21. Future Prospects of AI in Drug Discovery<br>Mithun Bhowmick, Sabina Yasmin, Sourajyoti Goswami and Pratibha Bhowmick

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        Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques