https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2024Giri_CryoStruct2024Giri CryoStruct - Revision history2026-06-13T12:13:47ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2024Giri_CryoStruct&diff=4685&oldid=prevWikiSysop: Created page with "== Citation == Giri, Nabin / Cheng, Jianlin. De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM. 2024. Nature Communications, Vol. 15, No. 1, p. 5511 == Abstract == Accurately building 3D atomic structures from cryo-EM density maps is a crucial step in cryo-EM-based protein structure determination. Converting density maps into 3D atomic structures for proteins lacking accurate homologous or predicted structures as templates..."2024-08-14T05:47:38Z<p>Created page with "== Citation == Giri, Nabin / Cheng, Jianlin. De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM. 2024. Nature Communications, Vol. 15, No. 1, p. 5511 == Abstract == Accurately building 3D atomic structures from cryo-EM density maps is a crucial step in cryo-EM-based protein structure determination. Converting density maps into 3D atomic structures for proteins lacking accurate homologous or predicted structures as templates..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Giri, Nabin / Cheng, Jianlin. De novo atomic protein structure modeling for cryoEM density maps using 3D transformer and HMM. 2024. Nature Communications, Vol. 15, No. 1, p. 5511<br />
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== Abstract ==<br />
<br />
Accurately building 3D atomic structures from cryo-EM density maps is a crucial<br />
step in cryo-EM-based protein structure determination. Converting density<br />
maps into 3D atomic structures for proteins lacking accurate homologous or<br />
predicted structures as templates remains a significant challenge. Here, we<br />
introduce Cryo2Struct, a fully automated de novo cryo-EM structure modeling<br />
method.Cryo2Struct utilizes a 3Dtransformer to identify atoms and amino acid<br />
types in cryo-EM density maps, followed by an innovative Hidden Markov<br />
Model (HMM) to connect predicted atoms and build protein backbone structures.<br />
Cryo2Struct produces substantially more accurate and complete protein<br />
structural models than the widely used ab initio method Phenix. Additionally,<br />
its performance in building atomic structural models is robust against changes<br />
in the resolution of density maps and the size of protein structures.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.nature.com/articles/s41467-024-49647-6<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop