Q4 Pharmacology, Toxicology and Pharmaceutics
Navneetha Oleti̇, Hemalatha Sattu, Munı Sıreesha Sunkara, Pranitha Kurella, Sahithi Manchi
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引用次数: 0

摘要

在药物发现过程中,虚拟筛选是一种新的先导化合物鉴定方法。从文献中可以了解到咪唑和嘧啶因其灵活的结构和多样的药理活性而受到药物化学家的重视。本研究设计了咪唑和2-氨基嘧啶衍生物,并进行了基于结构的虚拟筛选,以寻找新的抗人CDK2蛋白的抗癌药物。利用Molinspiration、Molsoft、OSIRIS、pkCSM等在线软件进行分子特性和分子毒性预测,并进行生物活性预测。并利用Autodock Vina进行分子对接研究。确定了靶点,预测了其抗癌活性的基本药理特征。在对接结果的基础上,将进一步合成与受体结合作用最强的化合物24,为抗癌药物的开发提供新的先导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Yeni imidazol 2-amino pirimidin türevleri: Insilico çalışmaları, insan-CDK2'ye karşı kanser önleyici aktivitelerinin değerlendirilmesi
In drug discovery process the identification of lead compounds by virtual screening is a novel approach. From the literature it is understood that imidazoles and pyrimidines have gained much importance among the medicinal chemists because of their flexible structure and varied pharmacological activities. In present study imidazole and 2-amino pyrimidine derivatives were designed, subjected to the structure based virtual screenings in order to find the novel anticancer agents against human CDK2 protein. The molecular properties and molecular toxicity prediction was done using various online softwares like Molinspiration, Molsoft, OSIRIS, pkCSM along with bioactivity properties. The derivatives which exhibited drug like property were further subjected to molecular docking studies using Autodock Vina. Hits are identified, the basic pharmacophoric features responsible for the anticancer activity were predicted. Based on docking results the compound 24, which exhibited highest binding interaction with receptor will be further synthesized and can be novel lead for the development of anticancer agents.
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来源期刊
Hacettepe University Journal of the Faculty of Pharmacy
Hacettepe University Journal of the Faculty of Pharmacy Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
0.60
自引率
0.00%
发文量
18
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