2020
DOI: 10.1107/s2059798320011341
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Development of a structure-analysis pipeline using multiple-solvent crystal structures of barrier-to-autointegration factor

Abstract: The multiple-solvent crystal structure (MSCS) approach uses high concentrations of organic solvents to characterize the interactions and effects of solvents on proteins. Here, the method has been further developed and an MSCS data-handling pipeline is presented that uses the Detection of Related Solvent Positions (DRoP) program to improve data quality. DRoP is used to selectively model conserved water molecules, so that an advanced stage of structural refinement is reached quickly. This allows the placement of… Show more

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Cited by 2 publications
(1 citation statement)
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“…Considering the reasons outlined in the introductory paragraphs, the trend over the past few years has been to identify PCs that bind to alternative sites of proteins rather than competing with the known ligand [ 20 ]. This can be experimentally achieved by, e.g., the use of molecular probes like in the multiple solvent crystal structure (MSCS) X-ray diffraction technique [ 108 , 109 , 110 ] or fragment-based NMR [ 111 , 112 ]. Alternative binding sites can also be discovered using bioinformatics tools mapping the surface/volume of a protein structure, allowing the search to be expanded to modeled proteins.…”
Section: Pocket Prediction Toolsmentioning
confidence: 99%
“…Considering the reasons outlined in the introductory paragraphs, the trend over the past few years has been to identify PCs that bind to alternative sites of proteins rather than competing with the known ligand [ 20 ]. This can be experimentally achieved by, e.g., the use of molecular probes like in the multiple solvent crystal structure (MSCS) X-ray diffraction technique [ 108 , 109 , 110 ] or fragment-based NMR [ 111 , 112 ]. Alternative binding sites can also be discovered using bioinformatics tools mapping the surface/volume of a protein structure, allowing the search to be expanded to modeled proteins.…”
Section: Pocket Prediction Toolsmentioning
confidence: 99%