Progressive tools and critical strategies for development of best fit PBPK model aiming better in vitro–in vivo correlation

Golhar, A.R.; Pillai, Megha Sajakumar; Dhakne, Pooja; Rajput, Niraj; Jadav, Tarang; Sengupta, Pinaki

doi:10.1016/j.ijpharm.2023.123267

Cited by 4 publications

(1 citation statement)

References 56 publications

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“…On the other hand, PBBM can be used to simulate drug dissolution and estimate the influence of drug-, formulation-, or physiology-related factors on this process to clinically relevant dissolution specifications. The link between bio-predictive or bio-relevant dissolution testing and PBBM and the utility of PBBM in terms of identifying in vivo relevant dissolution testing conditions or issues related to drug dissolution have been addressed in a number of publications [ 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 , 132 ].…”

Section: In Silico Modeling Of Oral Drug Permeation and Absorptionmentioning

confidence: 99%

Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration

Djuris,

Cvijic,

Djekic

2024

Pharmaceuticals

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The pharmaceutical industry has faced significant changes in recent years, primarily influenced by regulatory standards, market competition, and the need to accelerate drug development. Model-informed drug development (MIDD) leverages quantitative computational models to facilitate decision-making processes. This approach sheds light on the complex interplay between the influence of a drug’s performance and the resulting clinical outcomes. This comprehensive review aims to explain the mechanisms that control the dissolution and/or release of drugs and their subsequent permeation through biological membranes. Furthermore, the importance of simulating these processes through a variety of in silico models is emphasized. Advanced compartmental absorption models provide an analytical framework to understand the kinetics of transit, dissolution, and absorption associated with orally administered drugs. In contrast, for topical and transdermal drug delivery systems, the prediction of drug permeation is predominantly based on quantitative structure–permeation relationships and molecular dynamics simulations. This review describes a variety of modeling strategies, ranging from mechanistic to empirical equations, and highlights the growing importance of state-of-the-art tools such as artificial intelligence, as well as advanced imaging and spectroscopic techniques.

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Section: In Silico Modeling Of Oral Drug Permeation and Absorptionmentioning

confidence: 99%

Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration

Djuris,

Cvijic,

Djekic

2024

Pharmaceuticals

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A multiscale modeling study of nanoparticle-based targeting therapy against atherosclerosis

Pan,

Cai,

et al. 2024

Journal of Biomechanics

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Synthesis, Anti-Breast Cancer, and EGFR Activity of Novel Pyrido[2,3-d]pyrimidine-piperazine-1,2,4-oxadiazoles

Jyothi,

Palabindela,

Narsimha

2024

Russ J Gen Chem

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Progressive tools and critical strategies for development of best fit PBPK model aiming better in vitro–in vivo correlation

Cited by 4 publications

References 56 publications

Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration

Model-Informed Drug Development: In Silico Assessment of Drug Bioperformance following Oral and Percutaneous Administration

A multiscale modeling study of nanoparticle-based targeting therapy against atherosclerosis

Synthesis, Anti-Breast Cancer, and EGFR Activity of Novel Pyrido[2,3-d]pyrimidine-piperazine-1,2,4-oxadiazoles

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