A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure–Activity Relationship Model vs the Graph Convolutional Network-Reference-Cited by-同舟云学术

A Comparative Study of the Performance for Predicting Biodegradability Classification: The Quantitative Structure–Activity Relationship Model vs the Graph Convolutional Network

Published:2022-01-14 Issue:4 Volume:7 Page:3649-3655
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Lee Myeonghun¹,Min Kyoungmin²^ORCID

Affiliation:

1. School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Republic of Korea

2. School of Mechanical Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 06978, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c06274

Reference52 articles.

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3. Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals

4. REGULATION (EC) No 1907 2006 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL.

5. Allanou, R.; Hansen, B. G.; van der Bilt, Y.; Hansen, B. G. Public Availability of Data on EU High Production Volume Chemicals.

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