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  • Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques

    Revolutionizing Drug Discovery: Cutting-Edge Computational Techniques

    Series: Advances in Pharmacology; 103;

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      • Publisher's listprice EUR 183.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        75 899 Ft (72 285 Ft + 5% VAT)
      • Discount 20% (cc. 15 180 Ft off)
      • Discounted price 60 719 Ft (57 828 Ft + 5% VAT)

    75 899 Ft

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    Product details:

    • Publisher Elsevier Science
    • Date of Publication 21 May 2025

    • ISBN 9780443346491
    • Binding Hardback
    • No. of pages480 pages
    • Size 228x152 mm
    • Weight 900 g
    • Language English
    • 664

    Categories

    Long description:

    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.

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    Table of Contents:

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

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