Description

Book Synopsis

Chapter 1. Computational simulation of drug delivery at the molecular level.- Chapter 2. Computational modelling for formulation design.- Chapter 3. Computational fluid dynamics-the revolutionary innovative methodology in pharmaceutical industry.- Chapter 4. Population Modelling.- Chapter 5. Design of Experiments: Understanding optimization.- Chapter 6. Computational modelling of pharmaceutical die filling processes.- Chapter 7. Inhalation Aerosol based Targeted Drug Delivery to upper airways: Computational fluid dynamics (CFD) Approach.- Chapter 8. Pharmaceutical inhalation compounds development by using in silico modelling tools.- Chapter 9. Computational tools employed in Cheminformatics.- Chapter 10. Computational simulations as preformulation perspective for the delivery of Drugs.- Chapter 11. Computational Tools for Solubility prediction.- Chapter 12. Advances in the Computational Prediction of Absorption of Pharmaceuticals.- Chapter 13. Protein Binding Prediction by Computational Methods.- Chapter 14. Physiologically based Pharmacokinetic (PBPK) Modelling and Pharmacokinetic Pharmacodynamic (PKPD) Modelling.- Chapter 15. Prediction of Bio-permeability of Pharmaceuticals with advanced dynamic simulation studies.- Chapter 16. Accomplishment of Toxicity Prediction by CADD Tools.- Chapter 17. Metabolism Prediction: Identification of potential sites of metabolism in Lead molecules.- Chapter 18. Computer Assisted Simulation Studies for Identifying the Drug-Polymer Interactions.- Chapter 19. Recent Advances in Drug likeness screening by using the Software and Online tools.- Chapter 20. Mechanistic Understanding of the Anti-Alzheimer’s Agents with Computational Studies.- Chapter 21. Advances in the design of novel antidiabetic agents by using in silico approaches.- Chapter 22. Towards the mechanistic understanding of Atherosclerosis Drug Design.- Chapter 23. Modern computational intelligence based drug repurposing for Cancer Therapeutics.- Chapter 24. Computational analyses of mechanism of action of Antiepileptic Agents.- Chapter 25. Rational Approaches and Designing Strategies for Antihypertensive Agents.- Chapter 26. Drug discovery and computational strategies in the Multi-Drug Resistant Tuberculosis.- Chapter 27. The Network Pharmacology Approach to Uncover the Pharmacological Mechanism of Natural Products.

Applications of Computational Tools in Drug Design and Development

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    A Hardback by S.N. Koteswara Rao G.

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      Publisher: Springer
      Publication Date: 5/13/2025
      ISBN13: 9789819641536, 978-9819641536
      ISBN10: 9819641535
      Also in:
      Pharmacology

      Description

      Book Synopsis

      Chapter 1. Computational simulation of drug delivery at the molecular level.- Chapter 2. Computational modelling for formulation design.- Chapter 3. Computational fluid dynamics-the revolutionary innovative methodology in pharmaceutical industry.- Chapter 4. Population Modelling.- Chapter 5. Design of Experiments: Understanding optimization.- Chapter 6. Computational modelling of pharmaceutical die filling processes.- Chapter 7. Inhalation Aerosol based Targeted Drug Delivery to upper airways: Computational fluid dynamics (CFD) Approach.- Chapter 8. Pharmaceutical inhalation compounds development by using in silico modelling tools.- Chapter 9. Computational tools employed in Cheminformatics.- Chapter 10. Computational simulations as preformulation perspective for the delivery of Drugs.- Chapter 11. Computational Tools for Solubility prediction.- Chapter 12. Advances in the Computational Prediction of Absorption of Pharmaceuticals.- Chapter 13. Protein Binding Prediction by Computational Methods.- Chapter 14. Physiologically based Pharmacokinetic (PBPK) Modelling and Pharmacokinetic Pharmacodynamic (PKPD) Modelling.- Chapter 15. Prediction of Bio-permeability of Pharmaceuticals with advanced dynamic simulation studies.- Chapter 16. Accomplishment of Toxicity Prediction by CADD Tools.- Chapter 17. Metabolism Prediction: Identification of potential sites of metabolism in Lead molecules.- Chapter 18. Computer Assisted Simulation Studies for Identifying the Drug-Polymer Interactions.- Chapter 19. Recent Advances in Drug likeness screening by using the Software and Online tools.- Chapter 20. Mechanistic Understanding of the Anti-Alzheimer’s Agents with Computational Studies.- Chapter 21. Advances in the design of novel antidiabetic agents by using in silico approaches.- Chapter 22. Towards the mechanistic understanding of Atherosclerosis Drug Design.- Chapter 23. Modern computational intelligence based drug repurposing for Cancer Therapeutics.- Chapter 24. Computational analyses of mechanism of action of Antiepileptic Agents.- Chapter 25. Rational Approaches and Designing Strategies for Antihypertensive Agents.- Chapter 26. Drug discovery and computational strategies in the Multi-Drug Resistant Tuberculosis.- Chapter 27. The Network Pharmacology Approach to Uncover the Pharmacological Mechanism of Natural Products.

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