https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2024Hutchings_Review2024Hutchings Review - Revision history2026-05-24T21:11:34ZRevision history for this page on the wikiMediaWiki 1.44.2https://3demmethods.i2pc.es/index.php?title=2024Hutchings_Review&diff=4699&oldid=prevWikiSysop: Created page with "== Citation == Hutchings, Joshua / Villa, Elizabeth. Expanding insights from in situ cryo-EM. 2024. Current Opinion in Structural Biology, Vol. 88, p. 102885 == Abstract == The combination of cryo-electron tomography and subtomogram analysis affords 3D high-resolution views of biological macromolecules in their native cellular environment, or in situ. Streamlined methods for acquiring and processing these data are advancing attainable resolutions into the realm of dru..."2024-08-16T06:06:12Z<p>Created page with "== Citation == Hutchings, Joshua / Villa, Elizabeth. Expanding insights from in situ cryo-EM. 2024. Current Opinion in Structural Biology, Vol. 88, p. 102885 == Abstract == The combination of cryo-electron tomography and subtomogram analysis affords 3D high-resolution views of biological macromolecules in their native cellular environment, or in situ. Streamlined methods for acquiring and processing these data are advancing attainable resolutions into the realm of dru..."</p>
<p><b>New page</b></p><div>== Citation ==<br />
<br />
Hutchings, Joshua / Villa, Elizabeth. Expanding insights from in situ cryo-EM. 2024. Current Opinion in Structural Biology, Vol. 88, p. 102885<br />
<br />
== Abstract ==<br />
<br />
The combination of cryo-electron tomography and subtomogram<br />
analysis affords 3D high-resolution views of biological<br />
macromolecules in their native cellular environment, or in situ.<br />
Streamlined methods for acquiring and processing these data<br />
are advancing attainable resolutions into the realm of drug<br />
discovery. Yet regardless of resolution, structure prediction<br />
driven by artificial intelligence (AI) combined with subtomogram<br />
analysis is becoming powerful in understanding macromolecular<br />
assemblies. Automated and AI-assisted data mining<br />
is increasingly necessary to cope with the growing wealth of<br />
tomography data and to maximize the information obtained<br />
from them. Leveraging developments from AI and singleparticle<br />
analysis could be essential in fulfilling the potential of<br />
in situ cryo-EM. Here, we highlight new developments for in<br />
situ cryo-EM and the emerging potential for AI in this process.<br />
<br />
== Keywords ==<br />
<br />
== Links ==<br />
<br />
https://www.sciencedirect.com/science/article/pii/S0959440X2400112X<br />
<br />
== Related software ==<br />
<br />
== Related methods ==<br />
<br />
== Comments ==</div>WikiSysop