https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2022Metskas_STA 2026-05-24T21:06:42Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2022Metskas_STA&diff=4366&oldid=prev 2023-07-18T07:08:25Z

<p>Created page with &quot;== Citation == Metskas, Lauren Ann / Wilfong, Rosalie / Jensen, Grant J. Subtomogram averaging for biophysical analysis and supramolecular context. 2022. J. Structural Biolog...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Metskas, Lauren Ann / Wilfong, Rosalie / Jensen, Grant J. Subtomogram averaging for biophysical analysis and supramolecular context. 2022. J. Structural Biology X, Vol. 6, p. 100076 <br /> <br /> == Abstract ==<br /> <br /> Recent advances in hardware, software and computing power have led to increasingly ambitious applications of <br /> cryo-electron tomography and subtomogram averaging. It is now possible to reveal both structures and biophysical <br /> relationships like protein binding partners and small molecule occupancy in these experiments. However, <br /> some data processing choices require the user to prioritize structure or biophysical context. Here, we <br /> present a modified subtomogram averaging approach that preserves both capabilities. By increasing the accuracy <br /> of particle-picking, performing alignment and averaging on all subtomograms, and decreasing reliance on <br /> symmetry and tight masks, the usability of tomography and subtomogram averaging data for biophysical analyses <br /> is greatly increased without negatively impacting structural refinements.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.sciencedirect.com/science/article/pii/S2590152422000174<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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