Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 3 | 01 | Page :
    By

    Mohd. Wasiullah,

  • Piyush Yadav,

  • Aman Yadav,

  1. Principal, Department of Pharmacy, Prasad Institute of Technology, Jaunpur, Uttar Pradesh, India
  2. Head, Department of Pharmaceutical Chemistry, Prasad Institute of Technology., Jaunpur, Uttar Pradesh, India
  3. Scholar, Department of Pharmacy, Prasad Institute of Technology, Jaunpur, Uttar Pradesh, India

Abstract

Vaccine development and manufacturing have become increasingly complex due to the emergence of diverse vaccine platforms, stringent regulatory expectations, and global demand for safe and effective immunization. Across the vaccine lifecycle – from antigen design and preclinical evaluation to large‑scale manufacturing and post‑marketing surveillance – pharmaceutical software now plays a central role in handling data, optimizing processes, and ensuring regulatory compliance. Software tools support in silico antigen and epitope design, formulation optimization using design of experiments, management of clinical trial and pharmacovigilance data, and rigorous control of sterile manufacturing under current Good Manufacturing Practices (cGMP) and Quality by Design (QbD) frameworks. In industrial settings, systems, such as Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), Quality Management Systems (QMS), Laboratory Information Management Systems (LIMS), and advanced analytics platforms, enable real‑time monitoring, batch traceability, predictive maintenance, and data‑driven decision making in vaccine production facilities. This article reviews key categories of pharmaceutical software, their functions, and their contribution to process optimization in vaccine development and manufacturing, highlighting how digital tools enhance efficiency, quality, and regulatory assurance while supporting rapid, scalable responses to infectious disease threats.

Keywords: CGMP, pharmaceutical software, process optimization, quality by design, vaccine development, vaccine manufacturing

How to cite this article:
Mohd. Wasiullah, Piyush Yadav, Aman Yadav. Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization. International Journal of Vaccines. 2026; 03(01):-.
How to cite this URL:
Mohd. Wasiullah, Piyush Yadav, Aman Yadav. Role of Pharmaceutical Software in Vaccine Development and Manufacturing Process Optimization. International Journal of Vaccines. 2026; 03(01):-. Available from: https://journals.stmjournals.com/ijv/article=2026/view=238560


References

  1. El Arab RA, Mostafa A, Abdelwahab Artificial intelligence in vaccine research and development. Front Immunol. 2025;16:1557692.
  2. Zafar S, Chan A, Lingwood Vaccine formulation design: challenges and opportunities. Polymers (Basel). 2025;17(11):1913.
  3. Türeci Ö, Hiller T, Kleine-Weber H, Şahin mRNA vaccines: A new era in vaccinology. Nat Rev Drug Discov. 2023;22(8):601–623.
  4. Kis Z, Shattock R, Shah N, Kontoravdi Emerging technologies for vaccine manufacturing. Trends Biotechnol. 2022;40(8):775–788.
  5. Rathore AS, Winkle H. Quality by design for biopharmaceuticals: principles and applications in vaccine manufacturing. J Pharm Innov. 2019;14(2):125–139.
  6. Rathore AS, Bhambure R, Ghare Process analytical technology in vaccine manufacturing: Current status and future prospects. PDA J Pharm Sci Technol. 2017;71(4):381–395.
  7. Isaksson AJ, Harjunkoski I, Sand The impact of digitalization on the future of control and operations. Comput Chem Eng. 2018;114:122–129.
  8. Reinhardt IC, Oliveira JC, Ring Current perspectives on the development of Industry 4.0 in the pharmaceutical sector. J Ind Inf Integr. 2020;18:100131.
  9. Su Q, Ganesh S, Moreno M, Bommireddy Y, Gonzalez M, Reklaitis GV, et A perspective on Quality by Control in pharmaceutical continuous manufacturing. Comput Chem Eng. 2019;125:216–231.
  10. S. Food and Drug Administration. Artificial intelligence in drug manufacturing. Silver Spring (MD): U.S. Food and Drug Administration; 2023.
Ahead of Print Subscription Review Article
Volume 03
01
Received 03/02/2026
Accepted 04/02/2026
Published 20/02/2026
Publication Time 17 Days
59

Login


My IP

PlumX Metrics