https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2024Fan_CryoTrans 2026-05-24T22:01:30Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2024Fan_CryoTrans&diff=4735&oldid=prev 2024-09-03T06:17:53Z

<p>Created page with &quot;== Citation == Fan, Xiao / Zhang, Qi / Zhang, Hui / Zhu, Jianying / Ju, Lili / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. CryoTRANS: predicting high-resolution maps of rare conformations from self-supervised trajectories in cryo-EM. 2024. Communications Biology, Vol. 7, No. 1, p. 1058 == Abstract == Cryogenic electron microscopy (cryo-EM) has revolutionized structural biology, enabling efficient determination of structures at near-atomic resolutions. However, a comm...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Fan, Xiao / Zhang, Qi / Zhang, Hui / Zhu, Jianying / Ju, Lili / Shi, Zuoqiang / Hu, Mingxu / Bao, Chenglong. CryoTRANS: predicting high-resolution maps of rare conformations from self-supervised trajectories in cryo-EM. 2024. Communications Biology, Vol. 7, No. 1, p. 1058<br /> <br /> == Abstract ==<br /> <br /> Cryogenic electron microscopy (cryo-EM) has revolutionized structural biology, enabling efficient<br /> determination of structures at near-atomic resolutions. However, a common challenge arises from the<br /> severe imbalance among various conformations of vitrified particles, leading to low-resolution<br /> reconstructions in rare conformations due to a lack of particle images in these quasi-stable states. We<br /> introduce CryoTRANS, a method that predicts high-resolution maps of rare conformations by<br /> constructing a self-supervised pseudo-trajectory between density maps of varying resolutions. This<br /> trajectory is represented by an ordinary differential equation parameterized by a deep neural network,<br /> ensuring retention of detailed structures from high-resolution density maps. By leveraging a single highresolution<br /> density map, CryoTRANS significantly improves the reconstruction of rare conformations and<br /> has been validated on four real-world datasets: alpha-2-macroglobulin, actin-binding protein complexes,<br /> SARS-CoV-2 spike glycoprotein, and the 70S ribosome. CryoTRANS can also predict high-resolution<br /> structures in cryogenic electron tomography maps using a high-resolution cryo-EM map.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.nature.com/articles/s42003-024-06739-9<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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