ADVANCES IN DRUG DESIGN AND FORMULATION
Abstract
Advances in Drug Design and Formulation presents a comprehensive and forward-looking exploration of modern pharmaceutical sciences, highlighting the rapid transformation of drug discovery and formulation driven by computational intelligence, material science, and innovative delivery technologies. This edited volume brings together contributions from academicians, researchers, and industry professionals, offering both theoretical foundations and practical insights into next-generation drug development. The book covers cutting-edge topics such as AI-driven structure-based de novo drug design, microencapsulation technologies, nanomedicine-enabled drug delivery systems, 3D printing in pharmaceutical formulations, herbal and transdermal drug delivery, drug repurposing strategies, and regulatory and translational challenges. Special emphasis is placed on the integration of artificial intelligence, molecular modeling, machine learning, and data-driven formulation platforms to improve drug efficacy, bioavailability, safety, and patient compliance. By bridging computational pharmaceutics with experimental and formulation sciences, this volume addresses key challenges faced during the translation of laboratory research into clinically viable therapies. Each chapter is carefully curated to reflect current trends, emerging paradigms, and future prospects in pharmaceutical research and development. Intended for postgraduate and doctoral students, researchers, academicians, formulation scientists, and pharmaceutical industry professionals, Advances in Drug Design and Formulation serves as a valuable reference work and an inspiring resource for interdisciplinary innovation in drug discovery and delivery. The inclusion of award-winning chapters further underscores the scientific rigor and academic excellence embodied in this publication.
Fields of Study & Subjects
Advanced Drug Delivery Systems
Computational Drug Discovery Methods
Pharmacology and Nanomedicine Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026
- Document type
- Book chapter