Literature DB >> 23588322

Model-based drug development: a rational approach to efficiently accelerate drug development.

P A Milligan1, M J Brown, B Marchant, S W Martin, P H van der Graaf, N Benson, G Nucci, D J Nichols, R A Boyd, J W Mandema, S Krishnaswami, S Zwillich, D Gruben, R J Anziano, T C Stock, R L Lalonde.   

Abstract

The pharmaceutical industry continues to face significant challenges. Very few compounds that enter development reach the marketplace, and the investment required for each success can surpass $1.8 billion. Despite attempts to improve efficiency and increase productivity, total investment continues to rise whereas the output of new medicines declines. With costs increasing exponentially through each development phase, it is failure in phase II and phase III that is most wasteful. In today's development paradigm, late-stage failure is principally a result of insufficient efficacy. This is manifested as either a failure to differentiate sufficiently from placebo (shown for both novel and precedented mechanisms) or a failure to demonstrate sufficient differentiation from existing compounds. Set in this context, this article will discuss the role model-based drug development (MBDD) approaches can and do play in accelerating and optimizing compound development strategies through a series of illustrative examples.

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Year:  2013        PMID: 23588322     DOI: 10.1038/clpt.2013.54

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  74 in total

Review 1.  Bringing Model-Based Prediction to Oncology Clinical Practice: A Review of Pharmacometrics Principles and Applications.

Authors:  Núria Buil-Bruna; José-María López-Picazo; Salvador Martín-Algarra; Iñaki F Trocóniz
Journal:  Oncologist       Date:  2015-12-14

Review 2.  Application of Pharmacokinetic-Pharmacodynamic Modeling and Simulation for Antibody-Drug Conjugate Development.

Authors:  Aman P Singh; Young G Shin; Dhaval K Shah
Journal:  Pharm Res       Date:  2015-02-11       Impact factor: 4.200

Review 3.  Pharmacometrics and systems pharmacology for metabolic bone diseases.

Authors:  Matthew M Riggs; Serge Cremers
Journal:  Br J Clin Pharmacol       Date:  2019-02-28       Impact factor: 4.335

4.  Disease pharmacokinetic-pharmacodynamic modelling in acute intermittent porphyria to support the development of mRNA-based therapies.

Authors:  Zinnia P Parra-Guillen; Antonio Fontanellas; Lei Jiang; Daniel Jericó; Paolo Martini; Diego Vera-Yunca; Marjie Hard; Lin T Guey; Iñaki F Troconiz
Journal:  Br J Pharmacol       Date:  2020-04-14       Impact factor: 8.739

Review 5.  Model-based clinical drug development in the past, present and future: a commentary.

Authors:  Holly Kimko; José Pinheiro
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

6.  Physiologically Based Absorption Modeling to Design Extended-Release Clinical Products for an Ester Prodrug.

Authors:  Xuan Ding; Jeffrey S Day; David C Sperry
Journal:  AAPS J       Date:  2016-07-12       Impact factor: 4.009

7.  Exposure-Response of Veliparib to Inform Phase II Trial Design in Refractory or Relapsed Patients with Hematological Malignancies.

Authors:  Shailly Mehrotra; Mathangi Gopalakrishnan; Jogarao Gobburu; Jiuping Ji; Jacqueline M Greer; Richard Piekarz; Judith E Karp; Keith W Pratz; Michelle A Rudek
Journal:  Clin Cancer Res       Date:  2017-07-27       Impact factor: 12.531

8.  Predicting the probability of successful efficacy of a dissociated agonist of the glucocorticoid receptor from dose-response analysis.

Authors:  Daniela J Conrado; Sriram Krishnaswami; Satoshi Shoji; Sheela Kolluri; Judith Hey-Hadavi; Dorothy McCabe; Ricardo Rojo; Brinda K Tammara
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-05-13       Impact factor: 2.745

9.  Quantitative modeling of the dynamics and intracellular trafficking of far-red light-activatable prodrugs: implications in stimuli-responsive drug delivery system.

Authors:  Mengjie Li; Pritam Thapa; Pallavi Rajaputra; Moses Bio; Cody J Peer; William D Figg; Youngjae You; Sukyung Woo
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-09-14       Impact factor: 2.745

10.  Semi-mechanistic modelling of the analgesic effect of gabapentin in the formalin-induced rat model of experimental pain.

Authors:  A Taneja; I F Troconiz; M Danhof; O Della Pasqua
Journal:  Pharm Res       Date:  2013-10-05       Impact factor: 4.200

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