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	<title>2021Punjani 3DVA - Revision history</title>
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	<updated>2026-05-24T21:11:37Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://3demmethods.i2pc.es/index.php?title=2021Punjani_3DVA&amp;diff=3998&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Punjani, A. &amp; Fleet, D. J. 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J. Structural Bio...&quot;</title>
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		<updated>2021-05-27T07:57:58Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Punjani, A. &amp;amp; Fleet, D. J. 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J. Structural Bio...&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;
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Punjani, A. &amp;amp; Fleet, D. J. 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J. Structural Biology, 2021, 213, 107702 &lt;br /&gt;
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== Abstract ==&lt;br /&gt;
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Single particle cryo-EM excels in determining static structures of protein molecules, but existing 3D reconstruction methods have been ineffective in modelling flexible proteins. We introduce 3D variability analysis (3DVA), an algorithm that fits a linear subspace model of conformational change to cryo-EM data at high resolution. 3DVA enables the resolution and visualization of detailed molecular motions of both large and small proteins, revealing new biological insight from single particle cryo-EM data. Experimental results demonstrate the ability of 3DVA to resolve multiple flexible motions of -helices in the sub-50 kDa transmembrane domain of a GPCR complex, bending modes of a sodium ion channel, five types of symmetric and symmetry-breaking flexibility in a proteasome, large motions in a spliceosome complex, and discrete conformational states of a ribosome assembly. 3DVA is implemented in the cryoSPARC software package. &lt;br /&gt;
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== Keywords ==&lt;br /&gt;
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== Links ==&lt;br /&gt;
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https://www.sciencedirect.com/science/article/pii/S1047847721000071&lt;br /&gt;
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== Related software ==&lt;br /&gt;
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== Related methods ==&lt;br /&gt;
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== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
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