CAESAR models for developmental toxicity. - Wikidata - wikimedia - TriplyDB

CAESAR models for developmental toxicity.

CAESAR models for developmental toxicity.

http://www.wikidata.org/entity/Q33647350

about

Application of computational systems biology to explore environmental toxicity hazards Assessment and validation of the CAESAR predictive model for bioconcentration factor (BCF) in fish.The toxicity of crude 4-methylcyclohexanemethanol (MCHM): review of experimental data and results of predictive models for its constituents and a putative metabolite.Integration of bioinformatics to biodegradation.The acceptance of in silico models for REACH: Requirements, barriers, and perspectives Assessment of hydroxylated metabolites of polychlorinated biphenyls as potential xenoestrogens: a QSAR comparative analysis∗.Using quantitative structure-activity relationship modeling to quantitatively predict the developmental toxicity of halogenated azole compounds.A systems biology approach to predictive developmental neurotoxicity of a larvicide used in the prevention of Zika virus transmission.In Silico Model for Developmental Toxicity: How to Use QSAR Models and Interpret Their Results.A novel approach to generate robust classification models to predict developmental toxicity from imbalanced datasets.

P2860

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P2860

CAESAR models for developmental toxicity.

http://www.wikidata.org/entity/Q33647350

description

2010 nî lūn-bûn

@nan

2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

CAESAR models for developmental toxicity.

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CAESAR models for developmental toxicity.

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type

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CAESAR models for developmental toxicity.

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CAESAR models for developmental toxicity.

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CAESAR models for developmental toxicity.

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CAESAR models for developmental toxicity.

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Chemistry Central Journal

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CAESAR models for developmental toxicity.

@en

P2093

Alberto Manganaro

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Antonio Cassano

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Davide Bigoni

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Douglas Young

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Marco Pintore

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Nadège Piclin

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Todd Martin

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P2860

Assessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activity

Similarity-based virtual screening using 2D fingerprints

Classification of a large anticancer data set by adaptive fuzzy partition.

The utility of structure-activity relationship (SAR) models for prediction and covariate selection in developmental toxicity: comparative analysis of logistic regression and decision tree models.

Assessment of developmental toxicity potential of chemicals by quantitative structure-toxicity relationship models.

Database mining with adaptive fuzzy partition: application to the prediction of pesticide toxicity on rats.

How similar are similarity searching methods? A principal component analysis of molecular descriptor space.

Prediction of oral bioavailability by adaptive fuzzy partitioning.

Decision tree SAR models for developmental toxicity based on an FDA/TERIS database.

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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4 Suppl 1

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Emilio Benfenati

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2010-07-29T00:00:00Z

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