Compound Property Learning Based on Molecular Fingerprints and Complex Network Metrics
Author:
Affiliation:
1. Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan University of Science and Technology,Wuhan,China
2. College of Control Science and Engineering, Zhejiang University,Zhejiang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450516.pdf?arnumber=10450516
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1. Environment-related properties of polyhydroxylated dibenzo-p-dioxins
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3. A review of recent advances towards the development of QSAR models for toxicity assessment of ionic liquids
4. Degradation mechanism and QSAR models of antibiotic contaminants in soil by MgFe-LDH engineered biochar activating urea-hydrogen peroxide
5. De Novo Molecule Design by Translating from Reduced Graphs to SMILES
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