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所在平台: Udemy |
课程主页: https://www.udemy.com/course/in-silico-virtual-screening-for-drug-discovery/
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**课程名称：** 虚拟筛选用于药物发现 **课程概述：** 本课程面向初级水平的学士、硕士、博士学生、学者和研究人员，以及对在药物发现领域应用各种虚拟筛选技术以识别针对目标药物的类似先导化合物感兴趣的爱好者。通过本课程的学习，您将掌握从软件设置到结果分析的全过程，并能独立执行虚拟筛选。 虚拟筛选（也称为计算机辅助筛选）是一种计算机技术，用于在小分子库中搜索，以识别最有可能与药物靶点（通常是蛋白质受体或酶）结合的分子结构。其原理包括测量特定子结构的出现与否、匹配计算出的分子属性以及将潜在配体分子拟合到目标受体位点。随着该方法准确性的不断提高，虚拟筛选已成为药物发现过程中不可或缺的一部分。此方法能够设计和优化现有化合物的各种库。鉴于其日益提高的准确性和降低的成本，计算机辅助筛选已成为药物发现过程中必不可少的环节。
Virtual Screening for Drug Discovery - Learn In-silico lead like drug discovery using virtual screening technique: A perfect course for beginner level Bachelors / Masters / PhD students / scholars / researchers involved in In-silico drug discovery or enthusiasts interested in learning how to apply different types of virtual screening techniques for lead like drug compound identification against a drug target of interest. By the time you complete this course, you will be equipped with the knowledge required to execute virtual screening on your own starting from setting up the software to analyzing results. Virtual screening (also referred as In-silico screening) is a computational technique used in drug discovery to search libraries of small molecules in order to identify those structures which are most likely to bind to a drug target, typically a protein receptor or enzyme. The principles of virtual screening include measuring the presence or absence of specific substructures, matching certain calculated molecular properties, and fitting putative ligand molecules into the target receptor site. As the accuracy of the method has increased, virtual screening has become an integral part of the drug discovery process. This method can design and optimize various libraries from available compounds. According to the increased accuracy with decreased costs of this approach, in silico screening has now become an indispensable part of the drug discovery process.
