Homology-based loop modeling yields more complete crystallographic protein structures

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Abstract

Inherent protein flexibility, poor or low-resolution diffraction data or poorly defined electron-density maps often inhibit the building of complete structural models during X-ray structure determination. However, recent advances in crystallographic refinement and model building often allow completion of previously missing parts. This paper presents algorithms that identify regions missing in a certain model but present in homologous structures in the Protein Data Bank (PDB), and 'graft' these regions of interest. These new regions are refined and validated in a fully automated procedure. Including these developments in the PDB-REDO pipeline has enabled the building of 24 962 missing loops in the PDB. The models and the automated procedures are publicly available through the PDB-REDO databank and webserver. More complete protein structure models enable a higher quality public archive but also a better understanding of protein function, better comparison between homologous structures and more complete data mining in structural bioinformatics projects.

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Van Beusekom, B., Joosten, K., Hekkelman, M. L., Joosten, R. P., & Perrakis, A. (2018). Homology-based loop modeling yields more complete crystallographic protein structures. IUCrJ, 5, 585–594. https://doi.org/10.1107/S2052252518010552

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