Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants

Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants

10.3390/ijms20092328

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Main Authors: Petar Zuvela, Jonathan David, Xin Yang, Dejian Huang, Ming Wah Wong
Other Authors: DEPT OF CHEMISTRY
Format: Article
Published: MDPI AG 2019
Online Access:https://scholarbank.nus.edu.sg/handle/10635/154209
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1542092023-09-20T09:07:02Z Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants Petar Zuvela Jonathan David Xin Yang Dejian Huang Ming Wah Wong DEPT OF CHEMISTRY 10.3390/ijms20092328 International Journal of Molecular Sciences 20 9 2328-2328 2019-05-17T03:26:05Z 2019-05-17T03:26:05Z 2017-12-20 2019-05-17T03:16:16Z Article Petar Zuvela, Jonathan David, Xin Yang, Dejian Huang, Ming Wah Wong (2017-12-20). Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants. International Journal of Molecular Sciences 20 (9) : 2328-2328. ScholarBank@NUS Repository. https://doi.org/10.3390/ijms20092328 14220067 https://scholarbank.nus.edu.sg/handle/10635/154209 MDPI AG Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.3390/ijms20092328
author2 DEPT OF CHEMISTRY
author_facet DEPT OF CHEMISTRY
Petar Zuvela
Jonathan David
Xin Yang
Dejian Huang
Ming Wah Wong
format Article
author Petar Zuvela
Jonathan David
Xin Yang
Dejian Huang
Ming Wah Wong
spellingShingle Petar Zuvela
Jonathan David
Xin Yang
Dejian Huang
Ming Wah Wong
Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
author_sort Petar Zuvela
title Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
title_short Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
title_full Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
title_fullStr Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
title_full_unstemmed Non-Linear Quantitative Structure–Activity Relationships Modelling, Mechanistic Study and In-Silico Design of Flavonoids as Potent Antioxidants
title_sort non-linear quantitative structure–activity relationships modelling, mechanistic study and in-silico design of flavonoids as potent antioxidants
publisher MDPI AG
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/154209
_version_ 1778169043927171072

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