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High-throughput Virtual Screening Web Service Development for SARS-CoV-2 Drug Design

机译:用于SARS-CoV-2药物设计的高通量虚拟筛选Web服务开发

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The available structures of viral proteins and RNA molecules related to SARS-CoV-2 are used to screen and design a new set of drugs using the commercial databases and molecular docking protocols. The selected molecules are then studied further using molecular dynamics. Based on our earlier experiences we can target proteases, enzymes in DNA and RNA metabolism, and protein—protein interactions. In this paper we describe the planned research and development efforts for efficient screening and design of new drugs. Prior to the screening campaign, we will develop new open-source computational infrastructure, with two major outcomes. A new database containing all commercially available small-molecule ligands will be developed. A docking server with a web-based user interface will be developed and interfaced with the compound database. The docking server will use the database for sourcing of the molecules for the high-throughput virtual screening. Our approach offers major advantages that can bypass the problems that have traditionally plagued the pharmaceutical industry: our protocols are faster, cheaper, versatile, and offer minimal risks. We are developing new drugs using commercial databases, which allows us to buy the lead compounds for affordable prices that can bypass expensive and slow organic synthesis protocols.
机译:与SARS-CoV-2相关的病毒蛋白和RNA分子的可用结构用于使用商业数据库和分子对接方案来筛选和设计新的一组药物。然后使用分子动力学进一步研究选定的分子。根据我们较早的经验,我们可以靶向蛋白酶,DNA和RNA代谢中的酶以及蛋白质与蛋白质的相互作用。在本文中,我们描述了为有效筛选和设计新药而进行的计划研发工作。在筛选活动之前,我们将开发新的开源计算基础架构,并取得两个主要成果。将开发一个包含所有市售小分子配体的新数据库。将开发具有基于Web的用户界面的对接服务器,并将其与化合物数据库连接。对接服务器将使用数据库来采购分子,以进行高通量虚拟筛选。我们的方法提供的主要优势可以绕开传统上困扰制药业的问题:我们的协议更快,更便宜,用途更广且风险最小。我们正在使用商业数据库开发新药,这使我们能够以可承受的价格购买前导化合物,从而绕开昂贵而缓慢的有机合成方案。

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