COMPUTER-AIDED BIOPHARMACEUTICAL CHARACTERIZATION (IN VITRO–IN VIVO CORRELATION)

Authors

V. GEETHA, Lecturer in Chemistry, Government Degree College, RCPM, AP Pin -533255; DR. MONIKA RAKSE, Assistant Professor LCIT School of Pharmacy, Bilaspur Pin- 495001; NEHA ARORA, Associate Professor Suresh Gyan Vihar University, Jagatpura, Jaipur Pin: 302017; MS. SNNEHAA BHOSLE, Assistant Professor TMV'S Lokmanya Tilak Institute of Pharmaceutical Sciences Pune Pin 411037; MONU KUMAR (MK GROVER), Associate Professor Doon valley Institute of Pharmacy & medicine karnal Pin: 132001

Synopsis

 

Computer-aided biopharmaceutical characterization, particularly through In Vitro–In Vivo Correlation (IVIVC), has emerged as a powerful tool in modern drug development. By integrating computational modeling with experimental data, researchers can simulate drug absorption, predict bioavailability, and optimize formulations—reducing reliance on extensive in vivo studies.

???? Core Concepts:
  • IVIVC Definition: A predictive mathematical model that links in vitro drug dissolution data with in vivo pharmacokinetic behavior, enabling virtual bioequivalence assessments.
  • Simulation Tools: Software like GastroPlus™, SimCYP, and PK-Sim® use physiologically based pharmacokinetic (PBPK) models to simulate gastrointestinal drug absorption and plasma concentration profiles.
  • Model Construction: Incorporates drug physicochemical properties, GI transit times, enzymatic degradation, and transporter activity to build dynamic absorption models.
  • Virtual Trials: Enables prediction of food effects, formulation performance, and dose adjustments without conducting physical trials.
  • Biowaiver Support: IVIVC models can justify waiving certain clinical studies by demonstrating equivalence through simulation, saving time and resources.
???? Benefits & Future Outlook:

Computer-aided IVIVC enhances formulation strategy, supports regulatory submissions, and accelerates time-to-market. As machine learning and AI continue to evolve, these models will become more accurate and personalized, paving the way for adaptive drug development.

 

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Published

July 16, 2025

How to Cite

GEETHA, V. ., RAKSE, D. M. ., ARORA, N. ., BHOSLE, M. S. ., & MK GROVER, M. K. . (2025). COMPUTER-AIDED BIOPHARMACEUTICAL CHARACTERIZATION (IN VITRO–IN VIVO CORRELATION). In Dr. I. Somasundaram, M. B. K. . Baruah, M. P. . Sekar, & M. R. A. Armo (Eds.), COMPUTER AIDED DRUG DEVELOPMENT (pp. 129-171). Nexus Knowledge Publication (Imprint of AKT Multitask Consultancy). https://nknpub.com/1/catalog/book/8/chapter/22