In silico models for predicting vector control chemicals targeting Aedes aegypti.
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Structure-activity relationship (SAR) modelling of mosquito larvicides.Quantitative structure-activity relationship study of amide mosquito repellents.Functional characterization of Aedes aegypti alkaline phosphatase ALP1 involved in the toxicity of Cry toxins from Bacillus thuringiensis subsp. israelensis and jegathesan.QSAR models for predicting the toxicity of piperidine derivatives against Aedes aegypti.Expert judgment based multicriteria decision models to assess the risk of pesticides on reproduction failures of grey partridge.
P2860
In silico models for predicting vector control chemicals targeting Aedes aegypti.
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2014 nî lūn-bûn
@nan
2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հոտեմբերին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
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In silico models for predicting vector control chemicals targeting Aedes aegypti.
@ast
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@en
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@nl
type
label
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@ast
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@en
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@nl
prefLabel
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@ast
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@en
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@nl
P2093
P2860
P921
P1476
In silico models for predicting vector control chemicals targeting Aedes aegypti.
@en
P2093
A Yébakima
J C Garrigues
J Devillers
M M Clémenté
P2860
P304
P356
10.1080/1062936X.2014.958291
P577
2014-10-02T00:00:00Z