https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Balyschew_TomoBEAR 2026-05-24T20:17:59Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Balyschew_TomoBEAR&diff=4517&oldid=prev 2024-01-09T08:33:34Z

<p>Created page with &quot;== Citation == Balyschew, Nikita / Yushkevich, Artsemi / Mikirtumov, Vasilii / Sanchez, Ricardo M. / Sprink, Thiemo / Kudryashev, Mikhail. Streamlined structure determination...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Balyschew, Nikita / Yushkevich, Artsemi / Mikirtumov, Vasilii / Sanchez, Ricardo M. / Sprink, Thiemo / Kudryashev, Mikhail. Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR. 2023. Nature Communications, Vol. 14, No. 1, p. 6543 <br /> <br /> == Abstract ==<br /> <br /> Structures of macromolecules in their native state provide unique unambiguous<br /> insights into their functions. Cryo-electron tomography combined with<br /> subtomogram averaging demonstrated the power to solve such structures in<br /> situ at resolutions in the range of 3 Angstrom for some macromolecules. In<br /> order to be applicable to the structural determination of the majority of<br /> macromolecules observable in cells in limited amounts, processing of tomographic<br /> data has to be performed in a high-throughput manner. Here we<br /> present TomoBEAR—a modular configurable workflow engine for streamlined<br /> processing of cryo-electron tomographic data for subtomogram averaging.<br /> TomoBEAR combines commonly used cryo-EM packages with reasonable<br /> presets to provide a transparent (“white box”) approach for datamanagement<br /> and processing. We demonstrate applications of TomoBEAR to two data sets<br /> of purified macromolecular targets, to an ion channel RyR1 in amembrane, and<br /> the tomograms of plasma FIB-milled lamellae and demonstrate the ability to<br /> produce high-resolution structures. TomoBEAR speeds up data processing,<br /> minimizes human interventions, andwill help accelerate the adoption of in situ<br /> structural biology by cryo-ET. The source code and the documentation are<br /> freely available.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.nature.com/articles/s41467-023-42085-w<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

WikiSysop