https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Zhang_REST2023Zhang REST - Revision history2026-06-13T12:14:38ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2023Zhang_REST&diff=4452&oldid=prevWikiSysop: Created page with "== Citation == Zhang, Haonan / Li, Yan / Liu, Yanan / Li, Dongyu / Wang, Lin / Song, Kai / Bao, Keyan / Zhu, Ping. A method for restoring signals and revealing individual mac..."2023-08-31T15:59:01Z<p>Created page with "== Citation == Zhang, Haonan / Li, Yan / Liu, Yanan / Li, Dongyu / Wang, Lin / Song, Kai / Bao, Keyan / Zhu, Ping. A method for restoring signals and revealing individual mac..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Zhang, Haonan / Li, Yan / Liu, Yanan / Li, Dongyu / Wang, Lin / Song, Kai / Bao, Keyan / Zhu, Ping. A method for restoring signals and revealing individual macromolecule states in cryo-ET, REST. 2023. Nature Communications, Vol. 14, No. 1, p. 2937 <br />
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== Abstract ==<br />
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Cryo-electron tomography (cryo-ET) is widely used to explore the 3D density<br />
of biomacromolecules. However, the heavy noise and missing wedge effect<br />
prevent directly visualizing and analyzing the 3D reconstructions. Here, we<br />
introduced REST, a deep learning strategy-based method to establish the<br />
relationship between low-quality and high-quality density and transfer the<br />
knowledge to restore signals in cryo-ET. Test results on the simulated and real<br />
cryo-ET datasets show that REST performs well in denoising and compensating<br />
the missing wedge information. The application in dynamic nucleosomes,<br />
presenting either in the form of individual particles or in the context of cryo-<br />
FIB nuclei section, indicates that REST has the capability to reveal different<br />
conformations of target macromolecules without subtomogram averaging.<br />
Moreover, REST noticeably improves the reliability of particle picking. These<br />
advantages enable REST to be a powerful tool for the straightforward interpretation<br />
of target macromolecules by visual inspection of the density and of a<br />
broad range of other applications in cryo-ET, such as segmentation, particle<br />
picking, and subtomogram averaging.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.nature.com/articles/s41467-023-38539-w<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop