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		<title>WikiSysop: Created page with &quot;== Citation ==  Esteve-Yagüe, Carlos / Diepeveen, Willem / Öktem, Ozan / Schönlieb, Carola-Bibiane  Spectral decomposition of atomic structures in heterogeneous cryo-EM.  2...&quot;</title>
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		<updated>2023-06-15T05:36:10Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Esteve-Yagüe, Carlos / Diepeveen, Willem / Öktem, Ozan / Schönlieb, Carola-Bibiane  Spectral decomposition of atomic structures in heterogeneous cryo-EM.  2...&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;
Esteve-Yagüe, Carlos / Diepeveen, Willem / Öktem, Ozan / Schönlieb, Carola-Bibiane &lt;br /&gt;
Spectral decomposition of atomic structures in heterogeneous cryo-EM. &lt;br /&gt;
2023. Inverse Problems, Vol. 39, p. 034003 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
We consider the problem of recovering the three-dimensional atomic structure of a&lt;br /&gt;
exible macromolecule from a heterogeneous cryo-EM dataset. The dataset contains noisy tomographic&lt;br /&gt;
projections of the electrostatic potential of the macromolecule, taken from dierent&lt;br /&gt;
viewing directions, and in the heterogeneous case, each image corresponds to a dierent conformation&lt;br /&gt;
of the macromolecule. Under the assumption that the macromolecule can be modelled as&lt;br /&gt;
a chain, or discrete curve (as it is for instance the case for a protein backbone with a single chain&lt;br /&gt;
of amino-acids), we introduce a method to estimate the deformation of the atomic model with&lt;br /&gt;
respect to a given conformation, which is assumed to be known a priori. Our method consists on&lt;br /&gt;
estimating the torsion and bond angles of the atomic model in each conformation as a linear combination of the eigenfunctions of the Laplace operator in the manifold of conformations. These&lt;br /&gt;
eigenfunctions can be approximated by means of a well-known technique in manifold learning,&lt;br /&gt;
based on the construction of a graph Laplacian using the cryo-EM dataset. Finally, we test our&lt;br /&gt;
approach with synthetic datasets, for which we recover the atomic model of two-dimensional and&lt;br /&gt;
three-dimensional exible structures from noisy tomographic projections.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://iopscience.iop.org/article/10.1088/1361-6420/acb2ba/meta&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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