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计算机模拟研究病毒传染性性病。

In Silico Studies against Viral Sexually Transmitted Diseases.

机构信息

Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraíba, Joao Pessoa-PB, Brazil.

Laboratory for Molecular Modeling, Division of Medicinal Chemistry and Natural Products, Eshelman School of Pharmacy, University of North Carolina, Beard Hall 301, CB#7568, Chapel Hill, NC, 27599, United States.

出版信息

Curr Protein Pept Sci. 2019;20(12):1135-1150. doi: 10.2174/1389203720666190311142747.

DOI:10.2174/1389203720666190311142747
PMID:30854957
Abstract

Sexually Transmitted Diseases (STDs) refer to a variety of clinical syndromes and infections caused by pathogens that can be acquired and transmitted through sexual activity. Among STDs widely reported in the literature, viral sexual diseases have been increasing in a number of cases globally. This emphasizes the need for prevention and treatment. Among the methods widely used in drug planning are Computer-Aided Drug Design (CADD) studies and molecular docking which have the objective of investigating molecular interactions between two molecules to better understand the three -dimensional structural characteristics of the compounds. This review will discuss molecular docking studies applied to viral STDs, such as Ebola virus, Herpes virus and HIV, and reveal promising new drug candidates with high levels of specificity to their respective targets.

摘要

性传播疾病(STDs)是指由病原体引起的多种临床综合征和感染,这些病原体可以通过性活动获得和传播。在文献中广泛报道的性传播疾病中,病毒性性传播疾病在全球范围内的病例呈上升趋势。这强调了预防和治疗的必要性。在药物规划中广泛使用的方法包括计算机辅助药物设计(CADD)研究和分子对接,其目的是研究两个分子之间的分子相互作用,以更好地了解化合物的三维结构特征。这篇综述将讨论应用于埃博拉病毒、疱疹病毒和 HIV 等病毒性性传播疾病的分子对接研究,并揭示针对各自靶标的高特异性的有前途的新药候选物。

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