Literature DB >> 20488563

Functional mapping of drug response with pharmacodynamic-pharmacokinetic principles.

Kwangmi Ahn1, Jiangtao Luo, Arthur Berg, David Keefe, Rongling Wu.   

Abstract

Recent research in pharmacogenomics has inspired our hope to predict drug response by linking it with DNA information extracted from the human genome. However, many genetic models of drug response do not incorporate biochemical principles of host-drug interactions, limiting the effectiveness of the predictive models. We argue that functional mapping, a computational tool aimed at identifying genes and genetic networks that control dynamic traits, can help explain the detailed genetic architecture of drug response by incorporating pharmacokinetic and pharmacodynamic processes. Functional mapping is particularly powerful in determining the genetic commonality and differences of drug efficacy vs. drug toxicity and drug sensitivity vs. drug resistance. We pinpoint several future directions in which functional mapping can be coupled with systems biology to unravel the genetic and metabolic machinery of drug response. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20488563     DOI: 10.1016/j.tips.2010.04.004

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  13 in total

1.  Using a pharmacokinetic model to relate an individual's susceptibility to alcohol dependence to genotypes.

Authors:  Laura F Mustavich; Perry Miller; Kenneth K Kidd; Hongyu Zhao
Journal:  Hum Hered       Date:  2010-08-12       Impact factor: 0.444

2.  How to cluster gene expression dynamics in response to environmental signals.

Authors:  Yaqun Wang; Meng Xu; Zhong Wang; Ming Tao; Junjia Zhu; Li Wang; Runze Li; Scott A Berceli; Rongling Wu
Journal:  Brief Bioinform       Date:  2011-07-10       Impact factor: 11.622

Review 3.  A conceptual framework for pharmacodynamic genome-wide association studies in pharmacogenomics.

Authors:  Rongling Wu; Chunfa Tong; Zhong Wang; David Mauger; Kelan Tantisira; Stanley J Szefler; Vernon M Chinchilli; Elliot Israel
Journal:  Drug Discov Today       Date:  2011-09-06       Impact factor: 7.851

Review 4.  Systems biology data analysis methodology in pharmacogenomics.

Authors:  Andrei S Rodin; Grigoriy Gogoshin; Eric Boerwinkle
Journal:  Pharmacogenomics       Date:  2011-09       Impact factor: 2.533

Review 5.  A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.

Authors:  Qian Wang; Jingwen Gan; Kun Wei; Scott A Berceli; Claudia Gragnoli; Rongling Wu
Journal:  Drug Discov Today       Date:  2019-01-25       Impact factor: 7.851

6.  Pharmacodynamic genome-wide association study identifies new responsive loci for glucocorticoid intervention in asthma.

Authors:  Y Wang; C Tong; Z Wang; Z Wang; D Mauger; K G Tantisira; E Israel; S J Szefler; V M Chinchilli; H A Boushey; S C Lazarus; R F Lemanske; R Wu
Journal:  Pharmacogenomics J       Date:  2015-01-20       Impact factor: 3.550

Review 7.  Delivering systems pharmacogenomics towards precision medicine through mathematics.

Authors:  Yaqun Wang; Ningtao Wang; Jianxin Wang; Zhong Wang; Rongling Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-03-22       Impact factor: 15.470

8.  Stochastic modeling of systems mapping in pharmacogenomics.

Authors:  Zuoheng Wang; Jiangtao Luo; Guifang Fu; Zhong Wang; Rongling Wu
Journal:  Adv Drug Deliv Rev       Date:  2013-03-22       Impact factor: 15.470

Review 9.  Modeling, simulation, and translation framework for the preclinical development of monoclonal antibodies.

Authors:  Kenneth T Luu; Eugenia Kraynov; Bing Kuang; Paolo Vicini; Wei-Zhu Zhong
Journal:  AAPS J       Date:  2013-02-14       Impact factor: 4.009

Review 10.  Mapping genes for drug chronotherapy.

Authors:  Kun Wei; Qian Wang; Jingwen Gan; Shilong Zhang; Meixia Ye; Claudia Gragnoli; Rongling Wu
Journal:  Drug Discov Today       Date:  2018-06-28       Impact factor: 7.851

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