Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities (Q45877888)

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English	Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities	scientific article

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scholarly article

1 reference

Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part B. Use of (Q)SAR systems for early detection of drug-induced hepatobiliary and urinary tract toxicities (English)

1 reference

Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

author name string

Edwin J Matthews

1

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Carling J Ursem

2

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Naomi L Kruhlak

3

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

R Daniel Benz

4

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

David Aragonés Sabaté

5

1 reference

Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Chihae Yang

6

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Gilles Klopman

7

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

Joseph F Contrera

8

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17 December 2017

http://europepmc.org/abstract/MED/19422098

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publication date

1 June 2009

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17 December 2017

http://europepmc.org/abstract/MED/19422098

Regulatory Toxicology and Pharmacology

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17 December 2017

http://europepmc.org/abstract/MED/19422098

54

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Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

1

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http://europepmc.org/abstract/MED/19422098

23-42

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17 December 2017

http://europepmc.org/abstract/MED/19422098

Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.

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Prediction of rodent carcinogenicity for 30 chemicals

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Prediction of rodent carcinogenicity for 44 chemicals: results.

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The first US National Toxicology Program exercise on the prediction of rodent carcinogenicity: definitive results

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Toxicological and clinical computational analysis and the US FDA/CDER.

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The NIEHS Predictive-Toxicology Evaluation Project

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Comparison of MC4PC and MDL-QSAR rodent carcinogenicity predictions and the enhancement of predictive performance by combining QSAR models.

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Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports

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Progress in QSAR toxicity screening of pharmaceutical impurities and other FDA regulated products

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Acute Liver Failure in the United States

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Signal Detectability and Medical Decision-Making

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7 January 2021

A new highly specific method for predicting the carcinogenic potential of pharmaceuticals in rodents using enhanced MCASE QSAR-ES software

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In silico approaches to explore toxicity end points: issues and concerns for estimating human health effects

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Combined Use of MC4PC, MDL-QSAR, BioEpisteme, Leadscope PDM, and Derek for Windows Software to Achieve High-Performance, High-Confidence, Mode of Action-Based Predictions of Chemical Carcinogenesis in Rodents.

1 reference

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7 January 2021

Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part C: use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities

1 reference

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7 January 2021

A comprehensive model for reproductive and developmental toxicity hazard identification: I. Development of a weight of evidence QSAR database

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7 January 2021

A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicals.

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7 January 2021

An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: I. Identification of carcinogens using surrogate endpoints

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7 January 2021

An analysis of genetic toxicity, reproductive and developmental toxicity, and carcinogenicity data: II. Identification of genotoxicants, reprotoxicants, and carcinogens using in silico methods

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7 January 2021

Assessment of the health effects of chemicals in humans: II. Construction of an adverse effects database for QSAR modeling.

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7 January 2021

The history of disproportionality measures (reporting odds ratio, proportional reporting rates) in spontaneous reporting of adverse drug reactions

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7 January 2021

Drug-related hepatotoxicity

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7 January 2021

Integration of computational analysis as a sentinel tool in toxicological assessments

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7 January 2021

Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicology

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Robust Classification for Imprecise Environments

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7 January 2021

Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database

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7 January 2021

Pharmacovigilance in the 21st century: new systematic tools for an old problem

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Practical considerations on the use of predictive models for regulatory purposes

1 reference

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Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans. Part A: use of FDA post-market reports to create a database of hepatobiliary and urinary tract toxicities

1 reference

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Three new consensus QSAR models for the prediction of Ames genotoxicity.

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Drug-Induced Liver Disease

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7 January 2021

Identifiers

10.1016/J.YRTPH.2009.01.009

1 reference

Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

1 reference

Europe PubMed Central

17 December 2017

http://europepmc.org/abstract/MED/19422098

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