MemSTATS: A Benchmark Set of Membrane Protein Symmetries and Pseudosymmetries
MemSTATS: A Benchmark Set of Membrane Protein Symmetries and Pseudosymmetries
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DOI：
10.1016/j.jmb.2019.09.020
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发表时间：
2020-01-17
影响因子：
5.6
通讯作者：
Forrest, Lucy R.
中科院分区：
文献类型：
--
作者：
Aleksandrova, Antoniya A.;Sarti, Edoardo;Forrest, Lucy R.
在膜蛋白中，对称性和假对称性通常具有功能或进化意义。然而，由于缺乏适当的基准集，现有的对称性检测方法尚未在这类蛋白质上进行系统测试。在这里，我们提出了MemSTATS，一个公开的基准设置的四元和内部对称性的膜蛋白质结构。对称性描述的顺序，重复的元素，和相对于膜平面的轴的方向。此外，使用MemSTATS，我们比较了四种广泛使用的对称检测算法的性能，并强调了未来的具体挑战和改进领域。爱思唯尔有限公司出版
In membrane proteins, symmetry and pseudosymmetry often have functional or evolutionary implications. However, available symmetry detection methods have not been tested systematically on this class of proteins because of the lack of an appropriate benchmark set. Here we present MemSTATS, a publicly available benchmark set of both quaternary- and internal-symmetries in membrane protein structures. The symmetries are described in terms of order, repeated elements, and orientation of the axis with respect to the membrane plane. Moreover, using MemSTATS, we compare the performance of four widely used symmetry detection algorithms and highlight specific challenges and areas for improvement in the future. Published by Elsevier Ltd.