QSAR: An In Silico Approach for Predicting the Partitioning of Pesticides into Breast Milk-Reference-Cited by-同舟云学术

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QSAR: An In Silico Approach for Predicting the Partitioning of Pesticides into Breast Milk

Published:2013-02-01 Issue:3 Volume:16 Page:223-232
ISSN:1386-2073
Container-title:Combinatorial Chemistry & High Throughput Screening
language:en
Short-container-title:CCHTS

Author:

Agatonovic-Kustrin Suezana,W. Morton David,Celebic D.

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction model for milk transfer of drugs by primarily evaluating the area under the curve using QSAR/QSPR;Pharmaceutical Research;2023-01-31

2. Characterization of different contaminants and current knowledge for defining chemical mixtures in human milk: A review;Environment International;2023-01

3. QSAR analysis of the partitioning of terpenes and terpenoids into human milk;Flavour and Fragrance Journal;2022-07-09

4. In silico Risk Assessment Studies of New Psychoactive Substances Derived from Amphetamines and Cathinones;Journal of the Brazilian Chemical Society;2020

5. In Silico Ecotoxicological Modeling of Pesticide Metabolites and Mixtures;Methods in Pharmacology and Toxicology;2020

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