Predicting the toxic potential of drugs and chemicals in silico: a model for the peroxisome proliferator-activated receptor gamma (PPAR gamma).
about
Computational tools and resources for metabolism-related property predictions. 1. Overview of publicly available (free and commercial) databases and softwareIdentification of novel peroxisome proliferator-activated receptor-gamma (PPARγ) agonists using molecular modeling method.The advancement of multidimensional QSAR for novel drug discovery - where are we headed?Computational toxicology: an overview of the sources of data and of modelling methods
P2860
Predicting the toxic potential of drugs and chemicals in silico: a model for the peroxisome proliferator-activated receptor gamma (PPAR gamma).
description
2007 nî lūn-bûn
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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name
Predicting the toxic potential ...... d receptor gamma (PPAR gamma).
@en
Predicting the toxic potential ...... rator-activated receptor gamma
@nl
type
label
Predicting the toxic potential ...... d receptor gamma (PPAR gamma).
@en
Predicting the toxic potential ...... rator-activated receptor gamma
@nl
prefLabel
Predicting the toxic potential ...... d receptor gamma (PPAR gamma).
@en
Predicting the toxic potential ...... rator-activated receptor gamma
@nl
P2093
P1433
P1476
Predicting the toxic potential ...... d receptor gamma (PPAR gamma).
@en
P2093
Angelo Vedani
Anne-Vérène Descloux
Beat Ernst
Morena Spreafico
P356
10.1016/J.TOXLET.2007.06.011
P577
2007-06-20T00:00:00Z