Publish a Book Chapter in "Recent Advances in Drug Discovery and Development (Volume - 3)"


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ISBN 978-3-96492-709-5

Drug Discovery Edited Book | Edited Book on Pharmaceutical Science


This edited book on drug discovery and pharmaceutical science titled "Recent Advances in Drug Discovery and Development" mainly focuses on various topics such as coping the impact of drug discovery, drug repurposing, in silico approaches etc., and the rest are given below in the Scope of the book. This pharmaceutical science edited book will be published with ISBN numbers after following a proper double blind peer reviewed process. All the chapters of this drug discovery edited book will be published in a proper style, so that reader can easily understand and learn.

Author can download drug discovery edited book titled "Recent Advances in Drug Discovery and Development" authorship responsibility and copyright form: Click Here

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Cover page of Recent Advances in Drug Discovery and Development, edited book on pharmacy
ISBN978-3-96492-709-5
Invited Topics

  1. Target Identification to Validation: Modern Workflows and Pitfalls
  2. Hit Discovery Strategies Beyond HTS: Fragment, DNA-Encoded Libraries, and More
  3. Lead Optimization Using Multi-Parameter Optimization (MPO) Frameworks
  4. Structure-Based Drug Design: From Protein Preparation to Pose Confidence
  5. Ligand-Based Drug Design: Pharmacophore Modeling and QSAR in Practice
  6. Integrating CADD in Early Discovery: Best Practices and Common Errors
  7. Next-Generation Virtual Screening Pipelines for Rapid Hit Finding
  8. Similarity Searching at Scale: Fingerprints, Graph Methods, and Benchmarks
  9. Molecular Docking Accuracy: Scoring Functions, Rescoring, and Consensus Models
  10. Molecular Dynamics in Drug Discovery: Free Energy Methods and Real-World Use
  11. Binding Free Energy Calculations: MM/PBSA, FEP, and Decision-Making
  12. Protein–Ligand Interaction Fingerprints for SAR Interpretation
  13. AI-Assisted De Novo Molecular Design: Promise, Limits, and Validation
  14. Generative Models for Drug Design: Data Curation to Synthetic Feasibility
  15. Machine Learning for ADMET Prediction: Model Selection and Bias Control
  16. Explainable AI in Drug Discovery: From Black Box to Actionable Insight
  17. Active Learning and Bayesian Optimization for Iterative Lead Design
  18. Federated Learning for Pharma Data: Privacy-Preserving Model Building
  19. Drug Repurposing: Computational Prioritization and Translational Pathways
  20. Network Pharmacology for Repurposing and Polypharmacology Mapping



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ISBN

ISBN: 978-3-96492-709-5

Chief Editor

Dr. Mithun Rudrapal, editor of edited book on pharmacy
Dr. Mithun Rudrapal
Associate Professor & HOD, Department of Pharmaceutical Chemistry, Rasiklal M. Dhariwal Institute of Pharmaceutical Education and Research (RMDIPER) (Affiliated to Savitribai Phule Pune University), Telco Road, Chinchwad, Pune, Maharashtra, India

Book Scope

  • Drug Discovery
  • Drug Repurposing
  • In silico Approaches
  • Drug Design
  • CADD
  • In silico Pharmacology
  • Polypharmacology
  • Natural Products-based Drug Discovery
  • AI and Machine Learning in Drug Discovery
  • Synthetic Analogues and Drug Discovery
  • Nanotechnology and Drug Development
  • Drug Discovery for Infectious Diseases
  • Drug Discovery for COVID-19
  • Drug Discovery for Cancers
  • Drug Discovery for Diabetes
  • Drug Discovery for CVDs
  • Drug Discovery for Inflammatory Disorders
  • Drug Discovery for Brain Disorders/ Neurodegenerative Disorders
  • Drug Discovery for NTDs
  • Omics and Drug Discovery
  • Metabolomics and Drug Discovery
  • Virtual Screening/Similarity Searching in Drug Discovery
  • Medicinal Plants in Lead Discovery
  • Nanotherapeutics of Phytomolecules in Emerging Diseases


Author Guidelines

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Submit Chapter

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OR

Send your chapter on weserbooks@gmail.com


Deadline

31th Jan 2026