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Current Drug Discovery Technologies

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ISSN (Print): 1570-1638
ISSN (Online): 1875-6220

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Review Article

Preclinical Data Extrapolation to Clinical Reality: A Translational Approach

Author(s): Prakhar Varshney and Phool Chandra*

Volume 22, Issue 3, 2025

Published on: 25 April, 2024

Article ID: e250424229318 Pages: 13

DOI: 10.2174/0115701638302778240417045451

Price: $65

TIMBC 2026
Abstract

In vivo investigations are much more complex than trials conducted in a test tube; the results sometimes aren't as illuminating and could raise more questions than answers. Preclinical data projection into clinical truth is a transcriptional science that remains a compelling trial in drug development. Preclinical in vivo and in vitro education is important in novel drug's non-violent or active growth. Pharmacokinetic and metabolic research is necessary to better understand the chemical and biological effects of medicines and their metabolites. Information produced by such a policy can be used to progress Phase I studies, primarily for anticancer medication. Both living and deceased in vitro models are theoretically excellent preclinical tools for calculating the pharmacological action of counterparts from the same family, such as vinca alkaloids. The animal species most closely linked to humans are chosen based on metabolic patterns. The estimation of the duration of drug action, particularly for medicines with varied metabolic clearances (e.g., benzodiazepines); The empathetic or estimate of medicine relations, i.e., those defined for cyclosporin A and macrolide antibiotics; and Sclarification of the metabolic roots of individual inconsistencies in pharmaceutical action.

Keywords: In vivo study, in vitro study, extrapolation, preclinical studies, preclinical trials, test tube.

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