In silico study of natural antioxidants.

4区 医学 Q3 Biochemistry, Genetics and Molecular Biology
Shahin Ahmadi, Azizeh Abdolmaleki, Marjan Jebeli Javan
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引用次数: 1

Abstract

Antioxidants are the body's defense system against the damage of reactive oxygen species, which are usually produced in the body through various physiological processes. There are various sources of these antioxidants such as endogenous antioxidants in the body and exogenous food sources. This chapter provides important information on methods used to investigate antioxidant activity and sources of plant antioxidants. Over the past two decades, numerous studies have demonstrated the importance of in silico research in the development of novel natural and synthesized antioxidants. In silico methods such as quantitative structure-activity relationships (QSAR), pharmacophore, docking, and virtual screenings are play critical roles in designing effective antioxidants that may be synthesized and tested later. This chapter introduces the available in silico approaches for different classes of antioxidants. Many successful applications of in silico methods in the development and design of novel antioxidants are thoroughly discussed. The QSAR, pharmacophore, molecular docking techniques, and virtual screenings process summarized here would help readers to find out the proper mechanism for the interaction between the free radicals and antioxidant compounds. Furthermore, this chapter focuses on introducing new QSAR models in combination with other in silico methods to predict antioxidants activity and design more active antioxidants. In silico studies are essential to explore largely unknown plant tissue, food sources for antioxidant synthesis, as well as saving time and money in such studies.

天然抗氧化剂的计算机研究。
抗氧化剂是人体抵御活性氧损害的防御系统,通常是通过各种生理过程在体内产生的。这些抗氧化剂有多种来源,如体内的内源性抗氧化剂和外源性食物来源。本章提供了研究抗氧化活性的方法和植物抗氧化剂来源的重要信息。在过去的二十年里,大量的研究已经证明了硅研究在开发新型天然和合成抗氧化剂中的重要性。定量构效关系(QSAR)、药效团、对接和虚拟筛选等方法在设计有效的抗氧化剂中起着至关重要的作用,这些抗氧化剂可以在以后的合成和测试中使用。本章介绍了不同种类的抗氧化剂可用的硅方法。深入讨论了硅法在新型抗氧化剂开发和设计中的许多成功应用。本文总结的QSAR、药效团、分子对接技术和虚拟筛选过程,将有助于读者找到自由基与抗氧化化合物相互作用的正确机制。此外,本章重点介绍了新的QSAR模型与其他计算机方法相结合,以预测抗氧化剂的活性和设计更有效的抗氧化剂。计算机研究对于探索大部分未知的植物组织、抗氧化剂合成的食物来源以及节省此类研究的时间和金钱至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Vitamins and Hormones
Vitamins and Hormones 医学-内分泌学与代谢
CiteScore
3.80
自引率
0.00%
发文量
66
审稿时长
6-12 weeks
期刊介绍: First published in 1943, Vitamins and Hormones is the longest-running serial published by Academic Press. In the early days of the serial, the subjects of vitamins and hormones were quite distinct. The Editorial Board now reflects expertise in the field of hormone action, vitamin action, X-ray crystal structure, physiology, and enzyme mechanisms. Vitamins and Hormones continues to publish cutting-edge reviews of interest to endocrinologists, biochemists, nutritionists, pharmacologists, cell biologists, and molecular biologists. Others interested in the structure and function of biologically active molecules like hormones and vitamins will, as always, turn to this series for comprehensive reviews by leading contributors to this and related disciplines.
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