Exploration of the quantitative Structure-Activity relationships for predicting Cyclooxygenase-2 inhibition bioactivity by Machine learning approaches

Exploration of the quantitative Structure-Activity relationships for predicting Cyclooxygenase-2 inhibition bioactivity by Machine learning approaches

Cyclooxygenase-2 (COX-2) overexpression in many humans plays a key role in carcinogenic and inflammation-associated diseases. Several therapeutic and pharmaceutic drugs have been developed but some of them either lack the potency to control the COX-2 related diseases or promote unwanted side effects...

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Bibliographic Details
Main Authors: Kevin Tochukwu Dibia, Philomena Kanwulia Igbokwe, Godfrey Ifechukwu Ezemagu, Christian Oluchukwu Asadu
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Results in Chemistry
Subjects:
Cyclooxygenase-2
Bioactivity
Quantitative Structure-Activity Relationship
Machine Learning
Molecular Fingerprints
Online Access:http://www.sciencedirect.com/science/article/pii/S2211715621001776

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http://www.sciencedirect.com/science/article/pii/S2211715621001776

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