QSAR modeling of aromatase inhibition by flavonoids using machine learning approaches

QSAR modeling of aromatase inhibition by flavonoids using machine learning approaches

Aromatase is a member of the cytochrome P450 family responsible for catalyzing the rate-limiting conversion of androgens to estrogens. In the pursuit of robust aromatase inhibitors, quantitative structure-activity relationship (QSAR) and classification structure-activity relationship (CSAR) studies...

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Bibliographic Details
Main Authors: Chanin Nantasenamat, Apilak Worachartcheewan, Prasit Mandi, Teerawat Monnor, Chartchalerm Isarankura-Na-Ayudhya, Virapong Prachayasittikul
Other Authors: Mahidol University
Format: Article
Published: 2018
Subjects:
Biochemistry, Genetics and Molecular Biology
Chemical Engineering
Chemistry
Engineering
Materials Science
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/33334
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/33334

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