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2 The role of multiscale approaches for the rational design of nanoparticulate drug delivery system: recent advances

  • Ram Babu Sharma , Sakshi Tomar , Swati Kaushal and Amardeep Kaur
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Volume 2 Computational Drug Delivery
This chapter is in the book Volume 2 Computational Drug Delivery

Abstract

A novel technique for the creation of all sorts of dosage forms, particularly nanoparticulate drug delivery systems, is multiscale methods for rational design of nanoparticle drug delivery systems. Given the repeated claims of the capabilities of rational creation of all nanoparticulate drug delivery systems, it is now also known as multiscale computational modeling for drug development systems. Prior to beginning the experimental work and the potential for generating a dosage form, these computational multiscale methodologies provide a tangible degree of insight regarding drug-excipient, excipient-excipient, and drug-patient interactions. It is best to exclude punctuation because research experts are currently using various software for earlier dosage form creation possibilities. In silico techniques, which are trusted sources for drug delivery systems, are now being utilized to forecast information about nanotechnology systems for targeted delivery systems. This chapter’s goal is to identify the key topics that are crucial for the development and design of drug delivery systems. To develop nanoparticulate drug delivery systems, many statistical approach tools are employed, and computational methods have also been made available. There will be consideration given to future directions and the extension of this paradigm to new nanotechnology delivery systems.

Abstract

A novel technique for the creation of all sorts of dosage forms, particularly nanoparticulate drug delivery systems, is multiscale methods for rational design of nanoparticle drug delivery systems. Given the repeated claims of the capabilities of rational creation of all nanoparticulate drug delivery systems, it is now also known as multiscale computational modeling for drug development systems. Prior to beginning the experimental work and the potential for generating a dosage form, these computational multiscale methodologies provide a tangible degree of insight regarding drug-excipient, excipient-excipient, and drug-patient interactions. It is best to exclude punctuation because research experts are currently using various software for earlier dosage form creation possibilities. In silico techniques, which are trusted sources for drug delivery systems, are now being utilized to forecast information about nanotechnology systems for targeted delivery systems. This chapter’s goal is to identify the key topics that are crucial for the development and design of drug delivery systems. To develop nanoparticulate drug delivery systems, many statistical approach tools are employed, and computational methods have also been made available. There will be consideration given to future directions and the extension of this paradigm to new nanotechnology delivery systems.

Chapters in this book

  1. Frontmatter I
  2. Contents V
  3. 1 Introduction to computer simulations in drug delivery: current strategies and future prospects 1
  4. 2 The role of multiscale approaches for the rational design of nanoparticulate drug delivery system: recent advances 19
  5. 3 The utilization of descriptors in convoluted Lipinski’s rule of five 39
  6. 4 Computer-aided pharmacokinetic functions for extravascular route for oral drug delivery system 71
  7. 5 Computational approaches to the prediction of the blood–brain distribution and design of targeted drugs 87
  8. 6 Computational methods in the pragmatic development of nanoemulsions, polymeric micelles, and dendrimers for drug delivery 113
  9. 7 Virtual screening of mucoadhesive polymers for the development of efficient drug delivery system: current approaches 127
  10. 8 QbD and artificial intelligence in nanoparticulate drug delivery systems: recent advances 163
  11. 9 Nanotoxicity prediction in nanotechnology-driven drugs using QSPR modeling 183
  12. 10 Molecular simulations strategies for designing 2D nanomaterials for drug delivery applications 221
  13. 11 Applications and molecular simulation strategies for excipient–excipient compatibility 247
  14. 12 Application of simulation system for selection of nanocarrier for biopharmaceutically challenging pharmaceuticals 269
  15. 13 Applications and challenges in molecular dynamic simulations in polymeric nanoparticle drug delivery systems 307
  16. 14 Role of principal component analysis in drug formulation and delivery 331
  17. 15 Computational approaches for predicting drug solubility and permeability in pharmaceutical formulation 347
  18. 16 Molecular simulations and process modeling of tableting technology: recent advances and future insights 369
  19. 17 Molecular simulation-based technology for antibody–drug conjugates for tumor targeting: current scenario and future insights 383
  20. Index 437
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