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Systems Pharmacology to Predict Drug Toxicity: Integration Across Levels of Biological Organization

To achieve sensitive and specific mechanism-based prediction of drug toxicity, the tools of systems pharmacology will be integrated using structured ontological approaches, analytics, mathematics, and statistics. Success of this effort is based on the assumption that a systems network that consists... Full description

Journal Title: Annual review of pharmacology and toxicology 2013, Vol.53 (1), p.451-473
Main Author: BAI, Jane P. F
Other Authors: ABERNETHY, Darrell R
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: Palo Alto, CA: Annual Reviews
ID: ISSN: 0362-1642
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title: Systems Pharmacology to Predict Drug Toxicity: Integration Across Levels of Biological Organization
format: Article
creator:
  • BAI, Jane P. F
  • ABERNETHY, Darrell R
subjects:
  • Animals
  • Biological and medical sciences
  • Computational Biology - methods
  • Drug Discovery - methods
  • Drug toxicity and drugs side effects treatment
  • Drug-Related Side Effects and Adverse Reactions - etiology
  • Humans
  • Medical sciences
  • Miscellaneous (drug allergy, mutagens, teratogens...)
  • Pharmacology - methods
  • Pharmacology. Drug treatments
  • Systems Biology - methods
ispartof: Annual review of pharmacology and toxicology, 2013, Vol.53 (1), p.451-473
description: To achieve sensitive and specific mechanism-based prediction of drug toxicity, the tools of systems pharmacology will be integrated using structured ontological approaches, analytics, mathematics, and statistics. Success of this effort is based on the assumption that a systems network that consists of drug-induced perturbations of physiological functions can be characterized. This network spans the hierarchy of biological organization, from gene to mRNA to protein to intracellular organelle to cell to organ to organism. It is populated with data from each of these levels of biological organization. These data, from disparate sources, include the published literature, drug development archives of all approved drugs and drug candidates that did not complete development, and various toxicity databases and adverse event reporting systems. The network contains interrelated genomics, transcriptomics, and metabolomics data, as well as organ and physiological functional data that are derived from the universe of information that describes and analyzes drug toxicity. Here we describe advances in bioinformatics, computer sciences, next-generation sequencing, and systems biology that create the opportunity for integrated systems pharmacology-based prediction of drug safety.
language: eng
source:
identifier: ISSN: 0362-1642
fulltext: no_fulltext
issn:
  • 0362-1642
  • 1545-4304
url: Link


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descriptionTo achieve sensitive and specific mechanism-based prediction of drug toxicity, the tools of systems pharmacology will be integrated using structured ontological approaches, analytics, mathematics, and statistics. Success of this effort is based on the assumption that a systems network that consists of drug-induced perturbations of physiological functions can be characterized. This network spans the hierarchy of biological organization, from gene to mRNA to protein to intracellular organelle to cell to organ to organism. It is populated with data from each of these levels of biological organization. These data, from disparate sources, include the published literature, drug development archives of all approved drugs and drug candidates that did not complete development, and various toxicity databases and adverse event reporting systems. The network contains interrelated genomics, transcriptomics, and metabolomics data, as well as organ and physiological functional data that are derived from the universe of information that describes and analyzes drug toxicity. Here we describe advances in bioinformatics, computer sciences, next-generation sequencing, and systems biology that create the opportunity for integrated systems pharmacology-based prediction of drug safety.
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subjectAnimals ; Biological and medical sciences ; Computational Biology - methods ; Drug Discovery - methods ; Drug toxicity and drugs side effects treatment ; Drug-Related Side Effects and Adverse Reactions - etiology ; Humans ; Medical sciences ; Miscellaneous (drug allergy, mutagens, teratogens...) ; Pharmacology - methods ; Pharmacology. Drug treatments ; Systems Biology - methods
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abstractTo achieve sensitive and specific mechanism-based prediction of drug toxicity, the tools of systems pharmacology will be integrated using structured ontological approaches, analytics, mathematics, and statistics. Success of this effort is based on the assumption that a systems network that consists of drug-induced perturbations of physiological functions can be characterized. This network spans the hierarchy of biological organization, from gene to mRNA to protein to intracellular organelle to cell to organ to organism. It is populated with data from each of these levels of biological organization. These data, from disparate sources, include the published literature, drug development archives of all approved drugs and drug candidates that did not complete development, and various toxicity databases and adverse event reporting systems. The network contains interrelated genomics, transcriptomics, and metabolomics data, as well as organ and physiological functional data that are derived from the universe of information that describes and analyzes drug toxicity. Here we describe advances in bioinformatics, computer sciences, next-generation sequencing, and systems biology that create the opportunity for integrated systems pharmacology-based prediction of drug safety.
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