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iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach

Abstract : Background: Protein 3D structure is the support of its function. Comparison of 3D protein structures provides insight on their evolution and their functional specificities and can be done efficiently via protein structure superimposition analysis. Multiple approaches have been developed to perform such task and are often based on structural superimposition deduced from sequence alignment, which does not take into account structural features. Our methodology is based on the use of a Structural Alphabet (SA), i.e. a library of 3D local protein prototypes able to approximate protein backbone. The interest of a SA is to translate into 1D sequences into the 3D structures. Results: We used Protein blocks (PB), a widely used SA consisting of 16 prototypes, each representing a conformation of the pentapeptide skeleton defined in terms of dihedral angles. Proteins are described using PB from which we have previously developed a sequence alignment procedure based on dynamic programming with a dedicated PB Substitution Matrix. We improved the procedure with a specific two-step search: (i) very similar regions are selected using very high weights and aligned, and (ii) the alignment is completed (if possible) with less stringent parameters. Our approach, iPBA, has shown to perform better than other available tools in benchmark tests. To facilitate the usage of iPBA, we designed and implemented iPBAvizu, a plugin for PyMOL that allows users to run iPBA in an easy way and analyse protein superimpositions. Conclusions: iPBAvizu is an implementation of iPBA within the well-known and widely used PyMOL software. iPBAvizu enables to generate iPBA alignments, create and interactively explore structural superimposition, and assess the quality of the protein alignments.
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Contributor : Alexandre G. de Brevern Connect in order to contact the contributor
Submitted on : Monday, August 10, 2020 - 1:38:55 PM
Last modification on : Friday, August 5, 2022 - 12:01:49 PM
Long-term archiving on: : Monday, November 30, 2020 - 5:16:00 PM


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Guilhem Faure, Agnel Praveen Joseph, Pierrick Craveur, Tarun Narwani, Narayanaswamy Srinivasan, et al.. iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach. Source Code for Biology and Medicine, BioMed Central, 2019, 14 (1), ⟨10.1186/s13029-019-0075-3⟩. ⟨inserm-02913723⟩



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