Accelerate Drug Development with Pharmacokinetic Softwares

Year : 2024 | Volume : 11 | Issue : 03 | Page : 1 8
    By

    Kaushiki Patel,

  • Mehak Jain,

  1. Research Scholar, Department of Pharmaceutics, Indore Professional Studies Academy, College of Pharmacy, Madhya Pradesh, India
  2. Research Scholar, Department of Pharmaceutics, Indore Professional Studies Academy, College of Pharmacy, Madhya Pradesh, India

Abstract

During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates the identification of promising drug candidates but also minimizes the risks associated with unexpected pharmacokinetic profiles in later stages of development. This set of software is medication development based on a model that seeks to increase the rate at which scientist’s analyzes data supplying thorough interpretation of reusable streamlined processes, excellent reporting, and presentations. In this review, some commonly used software intended for pharmacokinetic studies have been focused on. Some examples of used software include APIS, AUC-RPP, Biokmod, DATAKINETICS, Edsim++, etc. Using these softwares one may perform pharmacokinetic parameters, pharmacodynamic parameters (PK/PD), and non-compartmental analysis demographics, modelling, bioequivalence, IVIVC, superposition without parameters. One such example of technological advancement in the pharma sector is the development of numerous software to aid in the processes like drug manufacturing, inventory management, management of all types of records, and Pharmacokinetic and Pharmacodynamic studies. These softwares are briefly explained together with the parameters they are used for and their importance in simplifying pharmacokinetic calculations. A basic description of pharmacokinetic studies is also presented to thoroughly understand software employed for these studies. By continuously refining and optimizing pharmacokinetic models based on emerging data, these tools empower pharmaceutical companies to make informed decisions that drive innovation and improve patient outcomes in drug development.

Keywords: Software, pharmacokinetic, pharmacodynamic, bioequivalence, drug development.

[This article belongs to Research & Reviews: A Journal of Drug Formulation, Development and Production ]

How to cite this article:
Kaushiki Patel, Mehak Jain. Accelerate Drug Development with Pharmacokinetic Softwares. Research & Reviews: A Journal of Drug Formulation, Development and Production. 2024; 11(03):1-8.
How to cite this URL:
Kaushiki Patel, Mehak Jain. Accelerate Drug Development with Pharmacokinetic Softwares. Research & Reviews: A Journal of Drug Formulation, Development and Production. 2024; 11(03):1-8. Available from: https://journals.stmjournals.com/rrjodfdp/article=2024/view=170047


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References

  1. Grogan S, Preuss CV. Pharmacokinetics. In: StatPearls [Internet]. Treasure Island (FL):  StatPearls Publishing; 2024 Jan–. PMID: 32491676. Available from: https://www.ncbi.nlm.nih.gov/books/NBK557744/.
  2. Arunima G, Saritha A. Pharmacokinetic software: Current practices. Int J Med Sci Innov Res (IJMSIR). 2019;4(1):312–5.
  3. Nordberg M, Duffus J, Templeton DM. Glossary of terms used in toxicokinetics (IUPAC Recommendations 2003). Pure Appl Chem. 2004;76(5):1033–82.
  4. Harris P, Nagy S, Vardaxis N. Mosby’s Dictionary of Medicine, Nursing, and Health Professions-Australian & New Zealand Edition-eBook. Elsevier Health Sciences; Elsevier Australia; 2014 Sep 8.
  5. Duffus JH, Nordberg M, Templeton DM. Glossary of terms used in toxicology (IUPAC Recommendations 2007). Pure Appl Chem. 2007;79(7):1153–344.
  6. Hallare J, Gerriets V. Half-Life. StatPearls. Treasure Island (FL): StatPearls Publishing; 2023. PMID: 32119385.
  7. Meibohm B, Derendorf H. Basic concepts of pharmacokinetic/pharmacodynamic (PK/PD) modelling. Int J Clin Pharmacol Ther. 1997;35(10):401–13.
  8. Colburn WA, Lee JW. Biomarkers validation and pharmacokinetic-pharmacodynamic modelling. Clin Pharmacokinet. 2003;42:997–1022. https://doi.org/10.2165/00003088-200342120-00001.
  9. Chaikin P, Rhodes GR, Bruno R, Rohatagi S, Natarajan C. Pharmacokinetics/pharmacodynamics in drug development: an industrial perspective. J Clin Pharmacol. 2000;40(12):1428–38.
  10. Rajman I. PK/PD modelling and simulations: utility in drug development. Drug Discov Today. 2008;13(7-8):341–6.
  11. Ruiz-Garcia A, Bermejo M, Moss A, Casabo VG. Pharmacokinetics in drug discovery. J Pharm Sci. 2008;97(2):654–90.
  12. Pharmacokinetic Software [Internet]. Pharmpk.com. 2019 [cited 2024 Aug 11]. Available from: https://www.pharmpk.com/soft.html.
  13. Zou H, Banerjee P, Leung SS, Yan X. Application of pharmacokinetic-pharmacodynamic modelling in drug delivery: development and challenges. Front Pharmacol. 2020 Jul 3;11:997.
  14. Colucci P, Ducharme MP. Applications of Software Packages in Pharmacokinetics. In: Shargel L, Yu ABC, editors. Applied Biopharmaceutics & Pharmacokinetics. 7th ed. New York: McGraw-Hill Education; 2016.
  15. Weiner D, Gabrielsson J. PK24 – Non-linear kinetics – flow II. Pharmacokinetic/pharmacodynamic data analysis: concepts and applications. Apotekarsocieteten. 2000;527–36.
  16. Charles G, Duffull SB. Pharmacokinetic software for the health sciences: Choosing the right package for teaching purposes. Clin Pharmacokinet. 2001;40:395–403.
  17. Benet LZ, Galeazzi RL. Noncompartmental determination of the steady‐state volume of distribution. J Pharm Sci. 1979;68(8):1071–4.
  18. Rowland M, Benet LZ, Graham GG. Clearance concepts in pharmacokinetics. J Pharmacokinet Biopharm. 1973;1(2):123–36.
  19. Rowland M, Tozer TN. Clinical Pharmacokinetics. 3rd ed. Philadelphia: Lea and Febiger; 1989.
  20. Huang XH, Zheng QS. Pharmacokinetic and pharmacodynamic data analysis: Concepts and applications. Am J Pharm Educ. 2010 Apr 12;74(3):53b. PMCID: PMC2865421.
  21. Nair S, Kong AN. Emerging roles for clinical pharmacometrics in cancer precision medicine. Curr Pharmacol Rep. 2018;4:276–83.
  22. Volles DF, McGory R. Pharmacokinetic considerations. Crit Care Clin. 1999;15(1):55–75.
  23. Chen B, Abuassba AO. Compartmental models with application to pharmacokinetics. Procedia Comput Sci. 2021;187:60–70.
  24. Shumaker RC, Boxenbaum H, Thompson GA. ABSPLOTS: a LOTUS 123 spreadsheet for calculating and plotting drug absorption rates. Pharm Res. 1988;5(4):247–8. doi: 10.1023/a:1015954032126.
  25. Guiastrennec B, Wollenberg L, Forrest A, Ait-Oudhia S. AMGET: an R-based postprocessing tool for ADAPT 5. CPT Pharmacometrics Syst Pharmacol. 2013;2(7).

 


Regular Issue Subscription Original Research
Volume 11
Issue 03
Received 19/07/2024
Accepted 16/08/2024
Published 02/09/2024



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