Compound Lipophilicity as a Descriptor to Predict Binding Affinity (1/Km) in Mammals-Reference-Cited by-同舟云学术

Compound Lipophilicity as a Descriptor to Predict Binding Affinity (1/Km) in Mammals

Published:2012-04-20 Issue:9 Volume:46 Page:5168-5174
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Pirovano Alessandra¹,Huijbregts Mark A. J.¹,Ragas Ad M. J.¹²,Hendriks A. Jan¹

Affiliation:

1. Institute for Wetland and Water Research, Department of Environmental Science, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.

2. School of Science, Open University, Heerlen, The Netherlands.

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/es204506g

Reference34 articles.

1. Regulation (EC) No. 1907/2006 of the European Parliament and of the Council of 18 December 2006 Concerning the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACh); L396/1; Off. J. Eur. Union 2006.

2. AN OVERVIEW OF THE USE OF QUANTITATIVE STRUCTURE–ACTIVITY RELATIONSHIPS FOR RANKING AND PRIORITIZING LARGE CHEMICAL INVENTORIES FOR ENVIRONMENTAL RISK ASSESSMENTS

3. The power of size. 1. Rate constants and equilibrium ratios for accumulation of organic substances related to octanol-water partition ratio and species weight

4. Transport, Accumulation and Transformation Processes

Cited by 8 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. Insights into in vitro biokinetics using Virtual Cell Based Assay simulations;ALTEX;2019

2. In Silico Approaches for the Prediction of In Vivo Biotransformation Rates;Challenges and Advances in Computational Chemistry and Physics;2017

3. Coverage of endangered species in environmental risk assessments at EFSA;EFSA Journal;2016-02

4. Discovery of biaryl carboxylamides as potent RORγ inverse agonists;Bioorganic & Medicinal Chemistry Letters;2015-08

5. The utilisation of structural descriptors to predict metabolic constants of xenobiotics in mammals;Environmental Toxicology and Pharmacology;2015-01