Understanding mechanisms of toxicity: insights from drug discovery research.
about
Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanismsDefining desirable central nervous system drug space through the alignment of molecular properties, in vitro ADME, and safety attributesNovel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction.Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity.A high-throughput respirometric assay for mitochondrial biogenesis and toxicity.Alternative (non-animal) methods for cosmetics testing: current status and future prospects-2010.Towards a strategic approaches in alternative tests for pesticide safety.Adaptation of high-throughput screening in drug discovery-toxicological screening tests.Organotypic liver culture models: meeting current challenges in toxicity testing.Survey of public domain software for docking simulations and virtual screening.Cytotoxicity and biocompatibility of Zirconia (Y-TZP) posts with various dental cements.Toxicity testing in the 21st century: bringing the vision to life.Cellular stress response pathway system as a sentinel ensemble in toxicological screening.Predictive toxicology approaches for small molecule oncology drugs.The future of toxicity testing.In vitro safety pharmacology profiling: what else beyond hERG?Systems biology of cyanobacterial secondary metabolite production and its role in drug discovery.Drug safety testing paradigm, current progress and future challenges: an overview.The use of high-throughput screening in identifying chemotherapeutic agents for gastric cancer.In vitro testing of basal cytotoxicity: Establishment of an adverse outcome pathway from chemical insult to cell death.Real-time bioluminescent tracking of cellular population dynamics.Establishing a high-throughput and automated cancer cell proliferation panel for oncology lead optimization.Computational toxicology: realizing the promise of the toxicity testing in the 21st century.Systems biology and mode of action based risk assessment.Computational toxicology as implemented by the U.S. EPA: providing high throughput decision support tools for screening and assessing chemical exposure, hazard and risk.
P2860
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P2860
Understanding mechanisms of toxicity: insights from drug discovery research.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh
2007年學術文章
@zh-hant
name
Understanding mechanisms of toxicity: insights from drug discovery research.
@en
Understanding mechanisms of toxicity: insights from drug discovery research.
@nl
type
label
Understanding mechanisms of toxicity: insights from drug discovery research.
@en
Understanding mechanisms of toxicity: insights from drug discovery research.
@nl
prefLabel
Understanding mechanisms of toxicity: insights from drug discovery research.
@en
Understanding mechanisms of toxicity: insights from drug discovery research.
@nl
P1476
Understanding mechanisms of toxicity: insights from drug discovery research.
@en
P2093
Keith A Houck
Robert J Kavlock
P304
P356
10.1016/J.TAAP.2007.10.022
P577
2007-11-04T00:00:00Z