(Q44367056)

9 January 2018

title

A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model (English)

1 reference

9 January 2018

author

Chun-Wei Tung

2

1 reference

2 December 2017

8

Weida Tong

1 reference

9 January 2018

Jürgen Borlak

7

object named as

Jürgen Borlak

1 reference

9 January 2018

Leming Shi

5

object named as

Leming Shi

1 reference

9 January 2018

Minjun Chen

1

object named as

Minjun Chen

1 reference

9 January 2018

author name string

Qiang Shi

3

1 reference

9 January 2018

Lei Guo

4

1 reference

9 January 2018

Hong Fang

6

1 reference

9 January 2018

publication date

11 June 2014

1 reference

9 January 2018

published in

Archives of Toxicology

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9 January 2018

volume

88

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9 January 2018

page(s)

1439-1449

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9 January 2018

issue

7

1 reference

9 January 2018

https://scigraph.springernature.com/pub.10.1007/s00204-014-1276-9

exact match

0 references

cites work

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Use of micropatterned cocultures to detect compounds that cause drug-induced liver injury in humans

15 August 2018

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15 August 2018

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https://api.crossref.org/works/10.1007%2FS00204-014-1276-9

Advancing regulatory science

21 January 2018

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12 December 2020

Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs

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12 December 2020

High lipophilicity and high daily dose of oral medications are associated with significant risk for drug-induced liver injury

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12 December 2020

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12 December 2020

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12 December 2020

10.1007/S00204-014-1276-9

Identifiers

DOI

1 reference

9 January 2018

PMCID

5753582

1 reference

9 January 2018

PubMed ID

24958025

1 reference

9 January 2018