[3dem] Ellen Zhong x Abhay Kotecha Webinar Weds, Nov 1

[Lavery, Leah]

Please join us live or register to view on-demand:

Machine Learning Approach to Cellular Cryo-Tomography
November 01, 2023
03:00 PM (London) 11:00 AM (New York) 08:00 AM (San Francisco)

Speakers:
Ellen Zhong, Princeton
Abhay Kotecha, Thermo Fisher Scientific

https://urldefense.com/v3/__https://events.bitesizebio.com/machine-learning-approach-to/join__;!!Mih3wA!FQ3lL0kU7dA210ghEE6MOvlE5IFKvYScJnUips_aJjt_Cy5weEouOUgMpxczCVyE74BsBpzk1phrIGwdH7MRNaa56m76$ 

What do dynamic protein complexes look like inside the cell? Advances in cryo-electron tomography (cryo-ET) offer unprecedented insights into dynamic protein complexes within cells. This webinar introduces cryoDRGN-ET, an open-source machine learning approach for reconstructing and visualizing biomolecular structures from in situ cryo-ET subtomograms. To demonstrate its effectiveness to capture diverse states in composition and conformation, it was applied to a dataset of 120000 subtomograms of S. cerevisiae ribosomes, revealing the distribution of functional states during translation elongation in situ.

In this webinar you will learn:
- How cryo-tomography can visualize cellular architecture in three dimensions at nanometer resolution
- Overview of computational processing of 3D tomograms that can further resolve structures at sub-nanometer resolution
- How cryoDRGN-ET avoids extensive classification and masking


Leah Lavery, PhD
Sr. Marketing Development Manager
Materials & Structural Analysis Division

Thermo Fisher Scientific
6055 Sunol Boulevard | Pleasanton, CA 94566 USA
Mobile: +1 (503) 523-7344
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