<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2025Li_EMProt</id>
	<title>2025Li EMProt - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2025Li_EMProt"/>
	<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2025Li_EMProt&amp;action=history"/>
	<updated>2026-05-01T07:50:48Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.44.2</generator>
	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2025Li_EMProt&amp;diff=5132&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Li, T., Chen, J., Li, H., Cao, H. and Huang, S.-Y. 2025. EMProt improves structure determination from cryo-EM maps. Nature Structural &amp; Molecular Biology. (2025), 1–10.  == Abstract ==  Cryo-electron microscopy (cryo-EM) has become the mainstream technique for macromolecular structure determination. However, because of intrinsic resolution heterogeneity, accurate modeling of all-atom structure from cryo-EM maps remains challenging even for maps at near-...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2025Li_EMProt&amp;diff=5132&amp;oldid=prev"/>
		<updated>2025-12-30T09:25:23Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Li, T., Chen, J., Li, H., Cao, H. and Huang, S.-Y. 2025. EMProt improves structure determination from cryo-EM maps. Nature Structural &amp;amp; Molecular Biology. (2025), 1–10.  == Abstract ==  Cryo-electron microscopy (cryo-EM) has become the mainstream technique for macromolecular structure determination. However, because of intrinsic resolution heterogeneity, accurate modeling of all-atom structure from cryo-EM maps remains challenging even for maps at near-...&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;
Li, T., Chen, J., Li, H., Cao, H. and Huang, S.-Y. 2025. EMProt improves structure determination from cryo-EM maps. Nature Structural &amp;amp; Molecular Biology. (2025), 1–10.&lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Cryo-electron microscopy (cryo-EM) has become the mainstream technique&lt;br /&gt;
for macromolecular structure determination. However, because of intrinsic&lt;br /&gt;
resolution heterogeneity, accurate modeling of all-atom structure from&lt;br /&gt;
cryo-EM maps remains challenging even for maps at near-atomic resolution.&lt;br /&gt;
Addressing the challenge, we present EMProt, a fully automated method&lt;br /&gt;
for accurate protein structure determination from cryo-EM maps by&lt;br /&gt;
efficiently integrating map information and structure prediction with a&lt;br /&gt;
three-track attention network. EMProt is extensively evaluated on a diverse&lt;br /&gt;
test set of 177 experimental cryo-EM maps with up to 54 chains in a case&lt;br /&gt;
at &amp;lt;4-Å resolution, and compared to state-of-the-art methods including&lt;br /&gt;
DeepMainmast, ModelAngelo, phenix.dock_and_rebuild and AlphaFold3.&lt;br /&gt;
It is shown that EMProt greatly outperforms the existing methods in&lt;br /&gt;
recovering the protein structure and building the complete structure. In&lt;br /&gt;
addition, the built models by EMrot exhibit a high accuracy in model-to-map&lt;br /&gt;
fit and structure validations.&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/s41594-025-01723-1&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>
	</entry>
</feed>