2-D Molecular Descriptor Screening and Quantitative Structure-Activity Relationship Modeling for Estrogen Receptors Alpha Bioactivity-Reference-Cited by-同舟云学术

2-D Molecular Descriptor Screening and Quantitative Structure-Activity Relationship Modeling for Estrogen Receptors Alpha Bioactivity

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)
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Author:

Liu Shiyu¹,Chang Kangli¹,Yan Hao¹,Li Dongfang¹,Li Fuchuan¹

Affiliation:

1. Beijing Institute of Computer Technology and Applications,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741750/9741857/09742222.pdf?arnumber=9742222

Reference11 articles.

1. A novel molecular descriptor selection method in QSAR classification model based on weighted penalized logistic regression

2. Estrogen receptor transcription and transactivation Basic aspects of estrogen action

3. Selecting Relevant Descriptors for Classification by Bayesian Estimates: A Comparison with Decision Trees and Support Vector Machines Approaches for Disparate Data Sets

4. Descriptor analysis of estrogen receptor β-selective ligands using 2-phenylquinoline, tetrahydrofluorenone and 3-hydroxy 6H-benzo[c]chromen-6-one scaffolds

5. Effect of molecular descriptor feature selection in support vector machine classification of phar-macokinetic and toxicological properties of chemical agents;ying;Journal of Chemical Information and Computer Sciences,2004

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1. Quantitative Structure-Activity Relationships of Estrogen Receptor Alpha Based on Molecular Descriptors Selection and Extreme Gradient Boosting;2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC);2023-01-05