What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques-Reference-Cited by-同舟云学术

What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques

Published:2023-09-06 Issue:10 Volume:34 Page:765-788
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Viljanen M.¹,Minnema J.²,Wassenaar P.N.H.²,Rorije E.²,Peijnenburg W.²³

Affiliation:

1. Department of Statistics, Data Science and Modelling, National Institute of Public Health and the Environment, Bilthoven, The Netherlands

2. Center for Safety of Substances and Products, National Institute of Public Health and the Environment, Bilthoven, The Netherlands

3. Institute of Environmental Sciences (CML), Leiden University, Leiden, The Netherlands

Funder

Strategic Research Program (SPR) of RIVM

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2023.2254225

Reference67 articles.

1. Risk Assessment of Chemicals

2. How in silico and QSAR approaches can increase confidence in environmental hazard and risk assessment

3. R.T. Wright, K. Fay, A. Kennedy, K. Mayo-Bean, M. Moran-Bruce, W. Meylan, P. Ranslow, M. Lock, J.V. Nabholz, J. Von Runnen, C.L. M, and J. Tunkel, ECOlogical Structure-Activity Relationship Model (ECOSAR) Class Program, U.S. Environmental Protection Agency, Washington, DC, U.S., 2022.

4. A review on machine learning methods forin silicotoxicity prediction

5. Deep learning for predicting toxicity of chemicals: a mini review

Cited by 4 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. Bio-QSARs 2.0: Unlocking a new level of predictive power for machine learning-based ecotoxicity predictions by exploiting chemical and biological information;Environment International;2024-04

2. Machine learning-based prediction of fish acute mortality: Implementation, interpretation, and regulatory relevance;2024-03-16

3. Machine learning-based prediction of fish acute mortality: implementation, interpretation, and regulatory relevance;Environmental Science: Advances;2024

4. Computational Chemistry as Applied in Environmental Research: Opportunities and Challenges;ACS ES&T Engineering;2023-10-12