https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Si_DeNovo2023Si DeNovo - Revision history2026-05-24T18:08:06ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2023Si_DeNovo&diff=4418&oldid=prevWikiSysop: Created page with "== Citation == Si, Dong / Chen, Jason / Nakamura, Andrew / Chang, Luca / Guan, Haowen. Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps. 2023. J. Molecular B..."2023-08-23T16:45:58Z<p>Created page with "== Citation == Si, Dong / Chen, Jason / Nakamura, Andrew / Chang, Luca / Guan, Haowen. Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps. 2023. J. Molecular B..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
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Si, Dong / Chen, Jason / Nakamura, Andrew / Chang, Luca / Guan, Haowen. Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps. 2023. J. Molecular Biology, Vol. 435, No. 9, p. 167967 <br />
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== Abstract ==<br />
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The study of macromolecular structures has expanded our understanding of the amazing cell machinery<br />
and such knowledge has changed how the pharmaceutical industry develops new vaccines in recent<br />
years. Traditionally, X-ray crystallography has been the main method for structure determination, however,<br />
cryogenic electron microscopy (cryo-EM) has increasingly become more popular due to recent<br />
advancements in hardware and software. The number of cryo-EM maps deposited in the EMDataResource<br />
(formerly EMDatabase) since 2002 has been dramatically increasing and it continues to do so.<br />
De novo macromolecular complex modeling is a labor-intensive process, therefore, it is highly desirable<br />
to develop software that can automate this process. Here we discuss our automated, data-driven, and artificial<br />
intelligence approaches including map processing, feature extraction, modeling building, and target<br />
identification. Recently, we have enabled DNA/RNA modeling in our deep learning-based prediction tool,<br />
DeepTracer. We have also developed DeepTracer-ID, a tool that can identify proteins solely based on the<br />
cryo-EM map. In this paper, we will present our accumulated experiences in developing deep learningbased<br />
methods surrounding macromolecule modeling applications.<br />
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== Keywords ==<br />
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== Links ==<br />
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https://www.sciencedirect.com/science/article/pii/S0022283623000232<br />
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== Related software ==<br />
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== Related methods ==<br />
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== Comments ==</div>WikiSysop