Novel Atomic-Level-Based AI Topological Descriptors: Application to QSPR/QSAR Modeling
Author:
Affiliation:
1. Research Institute of Materials Science, South China University of Technology, Guangzhou 510640, P.R. China
Publisher
American Chemical Society (ACS)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ci020362l
Reference52 articles.
Cited by 15 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
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3. Atomic-Level Topological Indices for Prediction of the Infinite Dilution Activity Coefficients of Oxo Compounds in Water;Journal of Solution Chemistry;2020-02
4. Quantitative structure–property relationship study of standard formation enthalpies of acyclic alkanes using atom-type-based AI topological indices;Arabian Journal of Chemistry;2017-05
5. The average numbers of outliers over groups of various splits into training and test sets: A criterion of the reliability of a QSPR? A case of water solubility;Chemical Physics Letters;2012-07
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