关于分子图形的1D, 2D和3D可视化的使用

Julian Heinrich, Michael Burch, S. O’Donoghue
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引用次数: 9

摘要

通过大型数据库,例如世界蛋白质数据库,可以很容易地获取大分子结构。几年前,这一研究领域的现有数据很少,需要专家和专家,浪费了大量的时间来探索数据。今天,各种可视化技术、工具和系统已经被设计和开发出来,以支持生物化学家、化学家或分子生物学家进行某些任务,如分析蛋白质功能、探索配体结合位点或理解RNA信号和信息处理。本文的目的是讨论如何通常使用1D, 2D和3D表示来促进这些任务。我们描述了涉及分子结构的常见任务,并说明了目前如何使用1D, 2D和3D可视化来解决这些问题。我们在这些任务的背景下讨论了这些概念的优点和缺点,并提出了通过用户评估提供经验证据的方法。
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On the use of 1D, 2D, and 3D visualisation for molecular graphics
Macromolecular structures have become easily accessible by means of large databases, for example the World Wide Protein Data Bank. Several years ago, existing data in this field of research was rare and demanded for specialists and experts which wasted a lot of time to explore the data. Today, various visualisation techniques, tools, and systems have been designed and developed to support biochemists, chemists, or molecular biologists at certain tasks such as analysing protein functions, exploring ligand-binding sites, or understanding RNA signal and message processing. The intent of this paper is to discuss how 1D, 2D, and 3D representations are typically employed to facilitate some of these tasks. We describe common tasks that involve molecular structures and illustrate how 1D, 2D, and 3D visualisations are currently being used to address these. We discuss the benefits and drawbacks of these concepts in the context of these tasks and propose methods to provide empirical evidence by means of user evaluations.
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