1. Preformulation Studies: Molecular optimization of APIs (drug substances), crystal morphology and variations, powder flow, structure modification, drug-excipient compatibility studies, methods of determination.
2 Formulation Additives: Study of different formulation additives, factors influencing their incorporation, role of formulation development and processing, new developments in excipient science. Design of experiments – factorial design for product and process development.
3 Solubility: Importance, experimental determination, phasesolubility analysis, pH-solubility profile, solubility techniques to improve solubility and utilization of analytical methods – cosolvency, salt formation, complexation, solid dispersion, micellar solubilization and hydrotropy.
4 Dissolution: Theories, mechanisms of dissolution, in-vitro dissolution testing models – sink and non-sink. Factors influencing dissolution and intrinsic dissolution studies. Dissolution test apparatus – designs, dissolution testing for conventional and controlled release products. Data handling and correction factor. Biorelevent media, in-vitro and in-vivo correlations, levels of correlations.
5 Product Stability: Degradation kinetics, mechanisms, stability testing of drugs and pharmaceuticals, factors influencing-media effects and pH effects, accelerated stability studies, interpretation of kinetic data (API & tablets). Solid state stability and shelf life assignment. Stability protocols, reports and ICH guidelines.
Certainly! Here's an example table of contents for a book on Computer-Aided Drug Formulation:
Table of Contents
Preface
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About This Book
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Acknowledgments
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How to Use This Book
Chapter 1: Introduction to Computer-Aided Drug Formulation (CADF)
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1.1 Overview of CADF
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1.2 Historical Development
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1.3 Role of CADF in Drug Development
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1.4 Scope and Objectives of the Book
Chapter 2: Fundamentals of Drug Formulation
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2.1 Drug Formulation Basics
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2.2 Types of Drug Formulations
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2.3 Formulation Development Process
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2.4 CADF in Drug Formulation Workflow
Chapter 3: Pharmaceutical Science and Chemistry for CADF
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3.1 Pharmaceutical Chemistry Fundamentals
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3.2 Drug Stability and Solubility
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3.3 Excipients and Additives
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3.4 Computational Chemistry Tools for CADF
Chapter 4: Computational Tools and Techniques in CADF
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4.1 Molecular Modeling and Simulation
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4.2 Molecular Docking and Binding Studies
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4.3 Quantitative Structure-Activity Relationship (QSAR)
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4.4 Machine Learning and Data Mining in CADF
Chapter 5: Drug-Excipient Compatibility and Interactions
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5.1 Drug-Excipient Compatibility Studies
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5.2 Predicting Drug-Excipient Interactions
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5.3 Excipient Selection and Design
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5.4 Case Studies in Drug-Excipient Compatibility
Chapter 6: Formulation Optimization and Design
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6.1 Formulation Optimization Techniques
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6.2 Design of Experiments (DoE)
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6.3 Controlled Release Formulations
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6.4 Multi-Objective Formulation Design
Chapter 7: Bioavailability Enhancement Strategies
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7.1 Enhancing Drug Solubility
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7.2 Nanoformulations and Nanoparticles
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7.3 Lipid-Based Formulations
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7.4 Prodrug Development
Chapter 8: Drug Formulation for Specific Delivery Routes
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8.1 Oral Drug Formulations
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8.2 Injectable and Parenteral Formulations
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8.3 Topical and Transdermal Formulations
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8.4 Inhalation and Pulmonary Drug Formulations
Chapter 9: Regulatory and Quality Considerations
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9.1 Regulatory Guidelines for Drug Formulation
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9.2 Quality Control and Assurance
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9.3 Intellectual Property and Patents
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9.4 Responsible CADF Practices
Chapter 10: Challenges and Future Directions
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10.1 Current Challenges in CADF
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10.2 Emerging Technologies and Innovations
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10.3 Personalized Medicine and CADF
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10.4 The Future of Computer-Aided Drug Formulation
Appendix A: Glossary
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Key Terms and Definitions
Appendix B: CADF Resources
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Recommended Books, Journals, and Organizations
Index
This table of contents provides a structured outline for a comprehensive book on Computer-Aided Drug Formulation. You can customize it further to match the specific focus and goals of your book.