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	<title>2024Wlodarski cryoEnsemble - Revision history</title>
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	<updated>2026-05-24T21:11:35Z</updated>
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	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2024Wlodarski_cryoEnsemble&amp;diff=4715&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Włodarski, Tomasz / Streit, Julian O. / Mitropoulou, Alkistis / Cabrita, Lisa D. / Vendruscolo, Michele / Christodoulou, John. Bayesian reweighting of biomolecular structural ensembles using heterogeneous cryo-EM maps with the cryoENsemble method. 2024. Scientific Reports, Vol. 14, No. 1, p. 18149  == Abstract ==  Cryogenic electron microscopy (cryo-EM) has emerged as a powerful method for the determination of structures of complex biological molecules....&quot;</title>
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		<updated>2024-08-21T06:09:11Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Włodarski, Tomasz / Streit, Julian O. / Mitropoulou, Alkistis / Cabrita, Lisa D. / Vendruscolo, Michele / Christodoulou, John. Bayesian reweighting of biomolecular structural ensembles using heterogeneous cryo-EM maps with the cryoENsemble method. 2024. Scientific Reports, Vol. 14, No. 1, p. 18149  == Abstract ==  Cryogenic electron microscopy (cryo-EM) has emerged as a powerful method for the determination of structures of complex biological molecules....&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;
Włodarski, Tomasz / Streit, Julian O. / Mitropoulou, Alkistis / Cabrita, Lisa D. / Vendruscolo, Michele / Christodoulou, John. Bayesian reweighting of biomolecular structural ensembles using heterogeneous cryo-EM maps with the cryoENsemble method. 2024. Scientific Reports, Vol. 14, No. 1, p. 18149&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryogenic electron microscopy (cryo-EM) has emerged as a powerful method for the determination&lt;br /&gt;
of structures of complex biological molecules. The accurate characterisation of the dynamics of such&lt;br /&gt;
systems, however, remains a challenge. To address this problem, we introduce cryoENsemble, a&lt;br /&gt;
method that applies Bayesian reweighting to conformational ensembles derived from molecular&lt;br /&gt;
dynamics simulations to improve their agreement with cryo-EM data, thus enabling the extraction&lt;br /&gt;
of dynamics information. We illustrate the use of cryoENsemble to determine the dynamics of the&lt;br /&gt;
ribosome-bound state of the co-translational chaperone trigger factor (TF). We also show that&lt;br /&gt;
cryoENsemble can assist with the interpretation of low-resolution, noisy or unaccounted regions of&lt;br /&gt;
cryo-EM maps. Notably, we are able to link an unaccounted part of the cryo-EM map to the presence&lt;br /&gt;
of another protein (methionine aminopeptidase, or MetAP), rather than to the dynamics of TF, and&lt;br /&gt;
model its TF-bound state. Based on these results, we anticipate that cryoENsemble will find use&lt;br /&gt;
for challenging heterogeneous cryo-EM maps for biomolecular systems encompassing dynamic&lt;br /&gt;
components.&lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.nature.com/articles/s41598-024-68468-7&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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