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		<id>https://3demmethods.i2pc.es/index.php?title=2023Herreros_ZART&amp;diff=4424&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Herreros, D. / Kiska, J. / Ram\irez-Aportela, E. / Filipovic, J. / Carazo, J. M. / Sorzano, C. O. S. ZART: A Novel Multiresolution Reconstruction Algorithm wit...&quot;</title>
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		<updated>2023-08-24T05:52:22Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Herreros, D. / Kiska, J. / Ram\irez-Aportela, E. / Filipovic, J. / Carazo, J. M. / Sorzano, C. O. S. ZART: A Novel Multiresolution Reconstruction Algorithm wit...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
&lt;br /&gt;
Herreros, D. / Kiska, J. / Ram\irez-Aportela, E. / Filipovic, J. / Carazo, J. M. / Sorzano, C. O. S. ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis. 2023. J. Molecular Biology, Vol. 435, No. 9, p. 168088 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
One of the main purposes of CryoEM Single Particle Analysis is to reconstruct the three-dimensional&lt;br /&gt;
structure of a macromolecule thanks to the acquisition of many particle images representing different&lt;br /&gt;
poses of the sample. By estimating the orientation of each projected particle, it is possible to recover&lt;br /&gt;
the underlying 3D volume by multiple 3D reconstruction methods, usually working either in Fourier or in&lt;br /&gt;
real space. However, the reconstruction from the projected images works under the assumption that all&lt;br /&gt;
particles in the dataset correspond to the same conformation of the macromolecule. Although this requisite&lt;br /&gt;
holds for some macromolecules, it is not true for flexible specimens, leading to motion-induced artefacts&lt;br /&gt;
in the reconstructed CryoEM maps. In this work, we introduce a new Algebraic Reconstruction&lt;br /&gt;
Technique called ZART, which is able to include continuous flexibility information during the reconstruction&lt;br /&gt;
process to improve local resolution and reduce motion blurring. The conformational changes are modelled&lt;br /&gt;
through Zernike3D polynomials. Our implementation allows for a multiresolution description of the&lt;br /&gt;
macromolecule adapting itself to the local resolution of the reconstructed map. In addition, ZART has also&lt;br /&gt;
proven to be a useful algorithm in cases where flexibility is not so dominant, as it improves the overall&lt;br /&gt;
aspect of the reconstructed maps by improving their local and global resolution.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S002228362300150X&lt;br /&gt;
&lt;br /&gt;
== Related software ==&lt;br /&gt;
&lt;br /&gt;
== Related methods ==&lt;br /&gt;
&lt;br /&gt;
== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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