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	<title>2025Riahi EMPOT - Revision history</title>
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	<updated>2026-05-24T21:11:37Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2025Riahi_EMPOT&amp;diff=5005&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  A. Tajmir Riahi, C. Zhang, A. Condon, J. Chen, and K. Dao Duc, “Alignment of Partially Overlapping Cryo-EM Maps Using Unbalanced Gromov-Wasserstein Divergence,” PRX Life, vol. 3, no. 2, p. 23003, 2025.  == Abstract ==  Aligning EM density maps and fitting atomic models are essential steps in single-particle cryogenic electron microscopy (cryo-em), with recent methods leveraging various algorithms and machine learning tools. As aligning maps remains ch...&quot;</title>
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		<updated>2025-06-24T06:32:14Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  A. Tajmir Riahi, C. Zhang, A. Condon, J. Chen, and K. Dao Duc, “Alignment of Partially Overlapping Cryo-EM Maps Using Unbalanced Gromov-Wasserstein Divergence,” PRX Life, vol. 3, no. 2, p. 23003, 2025.  == Abstract ==  Aligning EM density maps and fitting atomic models are essential steps in single-particle cryogenic electron microscopy (cryo-em), with recent methods leveraging various algorithms and machine learning tools. As aligning maps remains ch...&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;
A. Tajmir Riahi, C. Zhang, A. Condon, J. Chen, and K. Dao Duc, “Alignment of Partially Overlapping Cryo-EM Maps Using Unbalanced Gromov-Wasserstein Divergence,” PRX Life, vol. 3, no. 2, p. 23003, 2025.&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Aligning EM density maps and fitting atomic models are essential steps in single-particle cryogenic electron&lt;br /&gt;
microscopy (cryo-em), with recent methods leveraging various algorithms and machine learning tools. As&lt;br /&gt;
aligning maps remains challenging in the presence of a map that only partially fits the other (e.g., one subunit),&lt;br /&gt;
we here propose a procedure, em partial alignment with optimal transport (EMPOT), for partial alignment&lt;br /&gt;
of three-dimensional (3D) maps. EMPOT finds a coupling between 3D point-cloud representations, which is&lt;br /&gt;
associated with their so-called unbalanced Gromov Wasserstein divergence, and uses this coupling to find an&lt;br /&gt;
optimal rigid body transformation. On running and benchmarking our method with experimental maps and&lt;br /&gt;
structures, we show that EMPOT outperforms standard methods for aligning density maps and fitting atomic&lt;br /&gt;
models to a density map, suggesting potential applications of partial optimal transport for improving cryo-em&lt;br /&gt;
pipelines.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://journals.aps.org/prxlife/abstract/10.1103/PRXLife.3.023003&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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