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MemSTATS: A Benchmark Set of Membrane Protein Symmetries and Pseudosymmetries

Abstract : 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.
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https://hal.sorbonne-universite.fr/hal-02492913
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Submitted on : Thursday, February 27, 2020 - 2:25:00 PM
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Antoniya Aleksandrova, Edoardo Sarti, Lucy Forrest. MemSTATS: A Benchmark Set of Membrane Protein Symmetries and Pseudosymmetries. Journal of Molecular Biology, Elsevier, 2020, 432 (2), pp.597-604. ⟨10.1016/j.jmb.2019.09.020⟩. ⟨hal-02492913⟩

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