Prediction and Structure–Activity Relationship Analysis on Ready Biodegradability of Chemical Using Machine Learning Method-Reference-Cited by-同舟云学术

Prediction and Structure–Activity Relationship Analysis on Ready Biodegradability of Chemical Using Machine Learning Method

Published:2023-04-05 Issue:4 Volume:36 Page:617-629
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Yin Hongyan¹²,Lin Cheng¹,Tian Yujia¹,Yan Aixia¹^ORCID

Affiliation:

1. State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, Beijing University of Chemical Technology, P.O. Box 53, 15 BeiSanHuan East Road, Beijing 100029, People’s Republic of China

2. Hyper-Dimension Insight Pharmaceuticals Ltd. Room 511, Block A, No. 2C, DongSanHuan North Road, Beijing 100020, People’s Republic of China

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.2c00330

Reference71 articles.

1. Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review

2. Development of models predicting biodegradation rate rating with multiple linear regression and support vector machine algorithms

3. Trends in predictive biodegradation for sustainable mitigation of environmental pollutants: Recent progress and future outlook

4. Predictive model for aerobic biodegradability developed from a file of evaluated biodegradation data

5. Prediction of biodegradability of mineral base oils from chemical composition using artificial neural networks

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