https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Kim_Review 2026-05-24T18:05:25Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Kim_Review&diff=4422&oldid=prev 2023-08-24T05:46:21Z

<p>Created page with &quot;== Citation == Kim, Hannah Hyun-Sook / Uddin, Mostofa Rafid / Xu, Min / Chang, Yi-Wei. Computational methods toward unbiased pattern mining and structure determination in cry...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Kim, Hannah Hyun-Sook / Uddin, Mostofa Rafid / Xu, Min / Chang, Yi-Wei. Computational methods toward unbiased pattern mining and structure determination in cryo-electron tomography data. 2023. J. Molecular Biology, p. 168068 <br /> <br /> == Abstract ==<br /> <br /> Cryo-electron tomography can uniquely probe the native cellular environment for macromolecular structures.<br /> Tomograms feature complex data with densities of diverse, densely crowded macromolecular complexes,<br /> low signal-to-noise, and artifacts such as the missing wedge effect. Post-processing of this data<br /> generally involves isolating regions or particles of interest from tomograms, organizing them into related<br /> groups, and rendering final structures through subtomogram averaging. Template-matching and<br /> reference-based structure determination are popular analysis methods but are vulnerable to biases and<br /> can often require significant user input. Most importantly, these approaches cannot identify novel complexes<br /> that reside within the imaged cellular environment. To reliably extract and resolve structures of<br /> interest, efficient and unbiased approaches are therefore of great value. This review highlights notable<br /> computational software and discusses how they contribute to making automated structural pattern discovery<br /> a possibility. Perspectives emphasizing the importance of features for user-friendliness and accessibility<br /> are also presented.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.sciencedirect.com/science/article/pii/S0022283623001274<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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