Literature DB >> 22713729

Models of physiology and physiologically based models in clinical pharmacology.

A J Atkinson, B P Smith.   

Abstract

As science matures, it becomes more mathematical, progressing from enumeration to the use of equations to the formulation of models. Clinical pharmacology has developed to the stage where models play an increasingly important role in predicting and analyzing drug pharmacokinetics and pharmacodynamics, and even in characterizing disease progression and therapeutic response. Useful models have two characteristics that are in ostensible conflict: (i) they must accurately represent the essential features of the underlying system and (ii) the representation must be sufficiently simplified to enable its salient features to be identified and investigated through further experimentation.

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Year:  2012        PMID: 22713729     DOI: 10.1038/clpt.2012.67

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


  7 in total

1.  Advancing pharmacometrics and systems pharmacology.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2012-11       Impact factor: 6.875

Review 2.  Quantitative targeted proteomics for membrane transporter proteins: method and application.

Authors:  Xi Qiu; Hui Zhang; Yurong Lai
Journal:  AAPS J       Date:  2014-05-15       Impact factor: 4.009

3.  Assessment of DCE-MRI parameters for brain tumors through implementation of physiologically-based pharmacokinetic model approaches for Gd-DOTA.

Authors:  Marios Spanakis; Eleftherios Kontopodis; Sophie Van Cauter; Vangelis Sakkalis; Kostas Marias
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

4.  Mixed nanomicelles as potential carriers for systemic delivery of Z-GP-Dox, an FAPα-based doxorubicin prodrug: formulation and pharmacokinetic evaluation.

Authors:  Yuchen Zhang; Xingwang Zhang; Hongming Liu; Shaohui Cai; Baojian Wu
Journal:  Int J Nanomedicine       Date:  2015-02-26

5.  Elucidating the in vivo fate of nanocrystals using a physiologically based pharmacokinetic model: a case study with the anticancer agent SNX-2112.

Authors:  Dong Dong; Xiao Wang; Huailing Wang; Xingwang Zhang; Yifei Wang; Baojian Wu
Journal:  Int J Nanomedicine       Date:  2015-03-31

6.  Systems approaches evolve clinical pharmacology.

Authors:  S A Waldman; P H van der Graaf; A Terzic
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-08-21

7.  In silico evaluation of gadofosveset pharmacokinetics in different population groups using the Simcyp® simulator platform.

Authors:  Marios Spanakis; Kostas Marias
Journal:  In Silico Pharmacol       Date:  2014-06-12
  7 in total

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