Machine Learning-Assisted Prediction of the Biological Activity of Aromatase Inhibitors and Data Mining to Explore Similar Compounds

Author:

Ishfaq Muhammad1ORCID,Aamir Muhammad1,Ahmad Farooq2ORCID,M Mebed Abdelazim34,Elshahat Sayed35

Affiliation:

1. College of Computer Science, Huanggang Normal University, Huanggang 438000, China

2. Department of Biomedical Engineering, College of Engineering and Applied Sciences, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing 210093, China

3. Physics Department, Faculty of Science, Assiut University, Assiut 71516, Egypt

4. Department of Physics, College of Science, Jouf University, P.O. Box 2014, Al-Jouf, Sakaka 72388, Saudi Arabia

5. Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems, Center for Micro-Nanotechnology; Key Lab of Advanced Optoelectronic Quantum Design and Measurement, Ministry of Education, School of Physics, Beijing Institute of Technology, Beijing 100081, P. R. China

Funder

Huanggang Normal University

Jiangsu Province Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

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