QSAR modeling of aromatase inhibition by flavonoids using machine learning approaches

• 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

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...