Computational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Computational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA.
Structure. 2024 Apr 4;32(4):492-504.e4. doi: 10.1016/j.str.2024.01.011. Epub 2024 Feb 16.
Protein structure determination and prediction, active site detection, and protein sequence alignment techniques all exploit information about protein structure and structural relationships. For membrane proteins, however, there is limited agreement among available online tools for highlighting and mapping such structural similarities. Moreover, no available resource provides a systematic overview of quaternary and internal symmetries, and their orientation relative to the membrane, despite the fact that these properties can provide key insights into membrane protein function and evolution. Here, we describe the Encyclopedia of Membrane Proteins Analyzed by Structure and Symmetry (EncoMPASS), a database for relating integral membrane proteins of known structure from the points of view of sequence, structure, and symmetry. EncoMPASS is accessible through a web interface, and its contents can be easily downloaded. This allows the user not only to focus on specific proteins, but also to study general properties of the structure and evolution of membrane proteins.
蛋白质结构测定和预测、活性位点检测以及蛋白质序列比对技术都利用了有关蛋白质结构和结构关系的信息。然而,对于膜蛋白,现有的在线工具在突出和映射此类结构相似性方面存在有限的共识。此外,尽管这些特性可以为膜蛋白的功能和进化提供关键的见解,但没有可用的资源提供四级和内部对称性及其相对于膜的方向的系统概述。在这里,我们描述了结构和对称性分析的膜蛋白百科全书(EncoMPASS),这是一个数据库,用于从序列、结构和对称性的角度来关联已知结构的整合膜蛋白。EncoMPASS 通过 Web 界面访问,其内容可以轻松下载。这不仅允许用户专注于特定的蛋白质,还允许用户研究膜蛋白结构和进化的一般性质。