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MutagenPred-GCNNs: A Graph Convolutional Neural Network-Based Classification Model for Mutagenicity Prediction with Data-Driven Molecular Fingerprints

Crossref DOI link: https://doi.org/10.1007/s12539-020-00407-2

Published Online: 2021-01-27

Published Print: 2021-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Li, Shimeng

Zhang, Li

Feng, Huawei

Meng, Jinhui

Xie, Di

Yi, Liwei

Arkin, Isaiah T.

Liu, Hongsheng https://orcid.org/0000-0001-9242-6508
Funding

Funding for this research was provided by:

Key Technology Research and Development Program of Shandong (2019JH2/10300041)

Key Technologies Research and Development Program (2019JH5/10100041)

Department of Education of Liaoning Province (LQN201906)

Youth Science Foundation of Lanzhou Jiaotong University (LDQN2019010)

Transformation Program of Scientific and Technological Achievements of Jiangsu Provence (Z17-5-078)

Program for Nonferrous Metals Vacuum Metallurgy Innovation Team of Ministry of Science and Technology

Large-scale Instrument Equipment Sharing Service Plat-form Capacity Building Fund (kjhx2017028)

High-level innovation team foreign training project (2018LNGXGJWPY-YB006)

Shenyang Science and Technology Bureau (17-65-7-00)

Shenyang Science and Technology Plan Project (19-302-3-04)

National Science and Technology Planning Project (2018CASTQNJL50)
License Information

Text and Data Mining valid from 2021-01-27

Version of Record valid from 2021-01-27
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Article History

Received: 6 May 2020

Revised: 24 November 2020

Accepted: 3 December 2020

First Online: 27 January 2021

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