Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence-Reference-Cited by-同舟云学术

Predicting Endocrine Disruption Using Conformal Prediction – A Prioritization Strategy to Identify Hazardous Chemicals with Confidence

Published:2022-12-19 Issue:1 Volume:36 Page:53-65
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Sapounidou Maria¹^ORCID,Norinder Ulf²³⁴,Andersson Patrik L.¹^ORCID

Affiliation:

1. Chemistry Department, Umeå University, 901 87 Umeå, Sweden

2. Department of Computer and Systems Sciences, Stockholm University, Box 7003, 164 07 Kista, Sweden

3. MTM Research Centre, School of Science and Technology, Örebro University, 701 82 Örebro, Sweden

4. Department of Pharmaceutical Biosciences, Uppsala University, Box 591, 75 124 Uppsala, Sweden

Funder

H2020 Health

Stiftelsen f?r Milj?strategisk Forskning

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.2c00267

Reference51 articles.

1. Demeneix, B.; Slama, R. Endocrine Disruptors: From Scientific Evidence to Human Health Protection; European Parliament: Brussels, 2019. https://www.europarl.europa.eu/RegData/etudes/STUD/2019/608866/IPOL_STU(2019)608866_EN.pdf (accessed 2022-11-10).

2. Environmental Obesogens: Mechanisms and Controversies

3. Comparative Overview of the Mechanisms of Action of Hormones and Endocrine Disruptor Compounds

4. OECD. Revised Guidance Document 150 on Standardised Test Guidelines for Evaluating Chemicals for Endocrine Disruption; OECD: Paris, 2018

5. OECD. Guidance document on the validation of (Quantitative)Structure-Activity Relationships [(Q)SAR] models; OECD: Paris. http://www.oecd.org/officialdocuments/displaydocument/?doclanguage=en&cote=env/jm/mono(2007)2 (accessed 2022-11-10).

Cited by 3 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. Recognizing high-priority disinfection byproducts based on experimental and predicted endocrine disrupting data: Virtual screening and in vitro study;Chemosphere;2024-06

2. Usage of model combination in computational toxicology;Toxicology Letters;2023-11

3. Computational Models That Use a Quantitative Structure–Activity Relationship Approach Based on Deep Learning;Processes;2023-04-21