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Deep learning driven QSAR model for environmental toxicology: Effects of endocrine disrupting chemicals on human health

  • Published:2019-10 Issue: Volume:253 Page:29-38
  • ISSN:0269-7491
  • Container-title:Environmental Pollution
  • language:en
  • Short-container-title:Environmental Pollution

Author:

Heo SungKu,Safder Usman,Yoo ChangKyoo

Funder

National Research Foundation of Korea

Railway Technology Research Project of the Ministry of Land Infrastructure and Transport

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference37 articles.

1. High dimensional QSAR study of mild steel corrosion inhibition in acidic medium by furan derivatives;Al-Fakih;Int. J. Electrochem. Sci.,2015

2. A new adaptive L1-norm for optimal descriptor selection of high-dimensional QSAR classification model for anti-hepatitis C virus activity of thiourea derivatives;Algamal;SAR QSAR Environ. Res.,2017

3. The fate of pharmaceuticals and personal care products (PPCPs), endocrine disrupting contaminants (EDCs), metabolites and illicit drugs in a WWTW and environmental waters;Archer;Chemosphere,2017

4. Autoencoder networks for HIV classification;Betechuoh;Curr. Sci.,2006

5. Contaminants of emerging concern in the open sea waters of the Western Mediterranean;Brumovský;Environ. Pollut.,2017
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