Literature DB >> 15974934

A review on quantitative structure-activity relationships (QSARs) of natural and synthetic antioxidants compounds.

A C Kontogiorgis1, A E Pontiki, D Hadjipavlou-Litina.   

Abstract

During the last decade an increasing number of reports describe the roles of active oxygen species in the development or exacerbation of various kinds of diseases. Antioxidants are of great interest because of their involvement in important biological and industrial processes. They have been found to possess anticancer, anti-cardiovascular, anti-inflammatory and many other activities. Many attempts have been made to elucidate the QSAR of antioxidants by using different physicochemical parameters. Unfortunately the limited number of antioxidants and the unavailable sigma Hammett values of complex substituents did not lead to significant results in regression analysis. The redox potentials are well correlated to the antioxidant activities. In this report we will attempt to collect and discuss all the published results concerning the QSAR research on natural and synthetic antioxidants compounds.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15974934     DOI: 10.2174/1389557054023233

Source DB:  PubMed          Journal:  Mini Rev Med Chem        ISSN: 1389-5575            Impact factor:   3.862


  4 in total

1.  Adaptive Neuro-Fuzzy Inference System Applied QSAR with Quantum Chemical Descriptors for Predicting Radical Scavenging Activities of Carotenoids.

Authors:  Changho Jhin; Keum Taek Hwang
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

Review 2.  Computational studies of free radical-scavenging properties of phenolic compounds.

Authors:  Petko Alov; Ivanka Tsakovska; Ilza Pajeva
Journal:  Curr Top Med Chem       Date:  2015       Impact factor: 3.295

3.  Deep Eutectic Solvents as Convenient Media for Synthesis of Novel Coumarinyl Schiff Bases and Their QSAR Studies.

Authors:  Maja Molnar; Mario Komar; Harshad Brahmbhatt; Jurislav Babić; Stela Jokić; Vesna Rastija
Journal:  Molecules       Date:  2017-09-05       Impact factor: 4.411

4.  Investigation of angiotensin-I-converting enzyme (ACE) inhibitory tri-peptides: a combination of 3D-QSAR and molecular docking simulations.

Authors:  Fangfang Wang; Bo Zhou
Journal:  RSC Adv       Date:  2020-09-30       Impact factor: 4.036

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.