https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2021Titarenko_LocalCorr 2026-05-24T21:06:56Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2021Titarenko_LocalCorr&diff=3963&oldid=prev 2021-04-16T10:00:22Z

<p>Created page with &quot;== Citation == Titarenko, V. &amp; Roseman, A. M. Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Titarenko, V. &amp;amp; Roseman, A. M. Theoretical and practical approaches to improve the performance of local correlation algorithms for volume data analysis and shape recognition. Acta crystallographica. Section D, Structural biology, 2021, 77, 447-456 <br /> <br /> == Abstract ==<br /> <br /> In this paper, several approaches to be used to accelerate algorithms for fitting an atomic structure into a given 3D density map determined by cryo-EM are discussed. Rotation and translation of the atomic structure to find similarity scores are used and implemented with discrete Fourier transforms. Several rotations can be combined into groups to accelerate processing. The finite resolution of experimental and simulated maps allows a reduction in the number of rotations and translations needed in order to estimate similarity-score values. <br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://journals.iucr.org/d/issues/2021/04/00/ir5019/<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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