https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Luo_OpusDSD 2026-06-13T12:13:58Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Luo_OpusDSD&diff=4531&oldid=prev 2024-01-12T08:02:32Z

<p>Created page with &quot;== Citation == Luo, Zhenwei / Ni, Fengyun / Wang, Qinghua / Ma, Jianpeng. OPUS-DSD: deep structural disentanglement for cryo-EM single-particle analysis. 2023. Nature Methods...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Luo, Zhenwei / Ni, Fengyun / Wang, Qinghua / Ma, Jianpeng. OPUS-DSD: deep structural disentanglement for cryo-EM single-particle analysis. 2023. Nature Methods, Vol. 20, No. 11 <br /> p. 1729-1738 <br /> <br /> == Abstract ==<br /> <br /> Cryo-electron microscopy (cryo-EM) captures snapshots of dynamic<br /> macromolecules, collectively illustrating the involved structural<br /> landscapes. This provides an exciting opportunity to explore the structural<br /> variations of macromolecules under study. However, traditional cryo-EM<br /> single-particle analysis often yields static structures. Here we describe<br /> OPUS-DSD, an algorithm capable of efficiently reconstructing the structural<br /> landscape embedded in cryo-EM data. OPUS-DSD uses a three-dimensional<br /> convolutional encoder–decoder architecture trained with cryo-EM images,<br /> thereby encoding structural variations into a smooth and easily analyzable<br /> low-dimension space. This space can be traversed to reconstruct continuous<br /> dynamics or clustered to identify distinct conformations. OPUS-DSD can<br /> offer meaningful insights into the structural variations of macromolecules,<br /> filling in the gaps left by traditional cryo-EM structural determination, and<br /> potentially improves the reconstruction resolution by reliably clustering<br /> similar particles within the dataset. These functionalities are especially<br /> relevant to the study of highly dynamic biological systems. OPUS-DSD is<br /> available at https://github.com/alncat/opusDSD.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.nature.com/articles/s41592-023-02031-6<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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