https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Seitz_Geometric2023Seitz Geometric - Revision history2026-05-24T18:16:12ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2023Seitz_Geometric&diff=4414&oldid=prevWikiSysop: Created page with "== Citation == Seitz, Evan / Frank, Joachim / Schwander, Peter. Beyond ManifoldEM: geometric relationships between manifold embeddings of a continuum of 3D molecular structur..."2023-08-22T09:37:25Z<p>Created page with "== Citation == Seitz, Evan / Frank, Joachim / Schwander, Peter. Beyond ManifoldEM: geometric relationships between manifold embeddings of a continuum of 3D molecular structur..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Seitz, Evan / Frank, Joachim / Schwander, Peter. Beyond ManifoldEM: geometric relationships between manifold embeddings of a continuum of 3D molecular structures and their 2D projections. 2023. Digital Discovery, Vol. 2, p. 702-717 <br />
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== Abstract ==<br />
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ManifoldEM is an established method of geometric machine learning developed to extract information on conformational motions of molecules from their projections obtained by cryogenic electron microscopy (cryo-EM). In a previous work, in-depth analysis of the properties of manifolds obtained for simulated ground-truth data from molecules exhibiting domain motions has led to improvements of this method, as demonstrated in selected applications of single-particle cryo-EM. In the present work this analysis has been extended to investigate the properties of manifolds constructed by embedding data from synthetic models represented by atomic coordinates in motion, or three-dimensional density maps from biophysical experiments other than single-particle cryo-EM, with extensions to cryo-electron tomography and single-particle imaging with a X-ray free-electron laser. Our theoretical analysis revealed interesting relationships between all these manifolds, which can be exploited in future work.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00128d<br />
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== Related software ==<br />
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== Comments ==</div>WikiSysop