Literature DB >> 10840190

Modelling during drug development.

L P Balant1, M Gex-Fabry.   

Abstract

With the advancement of both biological and computer sciences, new drug development faces the challenge to integrate a huge amount of knowledge accumulated from the very early quantitative structure-activity relationship investigations of the candidate molecule to the large scale clinical trials in patients. Whereas pharmacokinetics and pharmacodynamics are fields in which modelling has long demonstrated its value, its potential in many other areas of drug development has recently been the object of intensive scientific activity. The present review places emphasis on these newer applications; it includes the opinion of many experts in often highly specialised areas such as in vitro to in vivo extrapolation, toxicokinetics, non-continuous response models, population approaches and computer assisted simulation of clinical trials. It is most probable that in the near future many of these areas of research will be the objects of intensive and interesting developments. This will undoubtedly lead to improve developmental strategies for new drugs as well as more individualised pharmacological strategies for patients.

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Year:  2000        PMID: 10840190     DOI: 10.1016/s0939-6411(00)00083-7

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  9 in total

1.  Modeling and stimulation for clinical trial design involving a categorical response: a phase II case study with naratriptan.

Authors:  I Nestorov; G Graham; S Duffull; L Aarons; E Fuseau; P Coates
Journal:  Pharm Res       Date:  2001-08       Impact factor: 4.200

Review 2.  Role of modelling and simulation: a European regulatory perspective.

Authors:  Siv Jönsson; Anja Henningsson; Monica Edholm; Tomas Salmonson
Journal:  Clin Pharmacokinet       Date:  2012-02-01       Impact factor: 6.447

3.  Experimental analysis and modelling of in vitro HUVECs proliferation in the presence of various types of drugs.

Authors:  L Mancuso; M Scanu; M Pisu; A Concas; G Cao
Journal:  Cell Prolif       Date:  2010-12       Impact factor: 6.831

4.  Use of the dose, time, susceptibility (DoTS) classification scheme for adverse drug reactions in pharmacovigilance planning.

Authors:  Torbjörn Callréus
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

5.  Model-based drug development: the road to quantitative pharmacology.

Authors:  Liping Zhang; Vikram Sinha; S Thomas Forgue; Sophie Callies; Lan Ni; Richard Peck; Sandra R B Allerheiligen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-13       Impact factor: 2.745

Review 6.  Benefits of Fractal Approaches in Solid Dosage Form Development.

Authors:  Renata Abreu-Villela; Martin Kuentz; Isidoro Caraballo
Journal:  Pharm Res       Date:  2019-09-06       Impact factor: 4.200

7.  Deficiencies in the reporting of VD and t(1/2) in the FDA approved chemotherapy drug inserts.

Authors:  Malcolm J D'Souza; Ghada J Alabed
Journal:  Pharm Rev       Date:  2010-02-03

8.  A semi-mechanistic gastric emptying model for the population pharmacokinetic analysis of orally administered acetaminophen in critically ill patients.

Authors:  Kayode Ogungbenro; Lakshmi Vasist; Robert Maclaren; George Dukes; Malcolm Young; Leon Aarons
Journal:  Pharm Res       Date:  2010-10-15       Impact factor: 4.200

Review 9.  Pharmacometrics: The Already-Present Future of Precision Pharmacology.

Authors:  Lorena Cera Bandeira; Leonardo Pinto; Cláudia Martins Carneiro
Journal:  Ther Innov Regul Sci       Date:  2022-08-18       Impact factor: 1.337

  9 in total

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