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Nuisance compounds in cellular assays

delete2021-03-01
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OA
AI
J
Jayme L. Dahlin *
D
Douglas S. Auld
I
Ina Rothenaigner
S
Steve Haney
J
Jonathan Z. Sexton
J
J. Willem M. Nissink
J
Jarrod Walsh
J
Jonathan A. Lee
J
John Strelow
F
Francis S. Willard
L
Lori Ferrins
J
Jonathan B. Baell
M
Michael A. Walters
B
Bruce K. Hua
K
Kamyar Hadian
B
Bridget K. Wagner
DOI:10.1016/j.chembiol.2021.01.021delete
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摘要

摘要

En 中文
Compounds that exhibit assay interference or undesirable mechanisms of bioactivity (nuisance compounds'') are routinely encountered in cellular assays, including phenotypic and high-content screening assays. Much is known regarding compound-dependent assay interferences in cell-free assays. However, despite the essential role of cellular assays in chemical biology and drug discovery, there is considerably less known about nuisance compounds in more complex cell-based assays. In our view, a major obstacle to realizing the full potential of chemical biology will not just be difficult-to-drug targets or even the sheer number of targets, but rather nuisance compounds, due to their ability to waste significant resources and erode scientific trust. In this review, we summarize our collective academic, government, and industry experiences regarding cellular nuisance compounds. We describe assay design strategies to mitigate the impact of nuisance compounds and suggest best practices to efficiently address these compounds in complex biological settings.
Keyword:
HIGH-THROUGHPUT IDENTIFICATION
SMALL-MOLECULE
NATURAL-PRODUCTS
CANCER-CELLS
DRUG
INTERFERENCE
INHIBITION
DISCOVERY
STABILITY
TARGETS
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期刊

Cell Chemical Biology 封面图
Cell Chemical Biology
IF:
7.2
论文数:
1.8K
被引数:
9.1K

机构

M
Monash University
学者数:
5.4W
论文数: 5.4W
被引数: 79
N
national institutes of health (nih) - usa
学者数:
10.3W
论文数: 8.2W
被引数: 111
A
AstraZeneca
学者数:
2.1W
论文数: 1.1W
被引数: 36
E
Eli Lilly
学者数:
1.0W
论文数: 5.9K
被引数: 10
N
Novartis
学者数:
1.8W
论文数: 9.5K
被引数: 2.9K
H
Helmholtz Association
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13.2W
论文数: 10.7W
被引数: 145
N
novartis usa
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5.1K
论文数: 3.1K
被引数: 7
U
University of Michigan
学者数:
6.4W
论文数: 5.3W
被引数: 124
U
university of michigan system
学者数:
9.1W
论文数: 8.6W
被引数: 133
N
Nanjing Tech University
学者数:
3.7W
论文数: 2.3W
被引数: 3.9W
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