[Sds-seminars] S&DS In-Person Seminar, Ellen Zhong, 10/31 @ 4pm-5pm, "Machine learning for determining protein structure and dynamics from cryo-EM images"

[elizavette.torres at yale.edu]

In-Person seminars will be held at Dunham Lab, 10 Hillhouse Ave., Room 220,
with an option of remote participation via zoom.

 <x-apple-data-detectors://10/> 3:30pm -   Pre-talk meet and greet, DL Suite
222, Room 228

 

 <https://statistics.yale.edu/>     <https://statistics.yale.edu/>
Department of Statistics and Data Science  

 

Ellen Zhong, Princeton University

 

Monday, October 31, 2022

4:00PM to 5:00PM

Dunham Lab. 

10 Hillhouse Avenue, Rm. 220

New Haven, CT 06511

https://statistics.yale.edu/seminars/ellen-zhong

 

OR

Via Zoom:
https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09  /
Password: 24

 

 

 

 

Title: Machine learning for determining protein structure and dynamics from
cryo-EM images

 

Information and Abstract: 

Major technological advances in cryo-electron microscopy (cryo-EM) have
produced new opportunities to study the structure and dynamics of proteins
and other biomolecular complexes. However, this structural heterogeneity
complicates the algorithmic task of 3D reconstruction from the collected
dataset of 2D cryo-EM images. In this seminar, I will overview cryoDRGN, an
algorithm that leverages the representation power of deep neural networks to
reconstruct continuous distributions of 3D density maps. Underpinning the
cryoDRGN method is a deep generative model parameterized by a new neural
representation of 3D volumes and a learning algorithm to optimize this
representation from unlabeled 2D cryo-EM images. Extended to real datasets
and released as an open-source tool, cryoDRGN has been used to discover new
protein structures and visualize continuous trajectories of their motion. I
will discuss various extensions of the method for broadening the scope of
cryo-EM to new classes of dynamic protein complexes and analyzing the
learned generative model. CryoDRGN is open-source software freely available
at  <http://cryodrgn.csail.mit.edu/> http://cryodrgn.cs.princeton.edu..

 <x-apple-data-detectors://10/> 3:30pm -   Pre-talk meet and greet, Suite
222, Room 228

 

Link: Join from PC, Mac, Linux, iOS or Android:
<https://yale.zoom.us/j/92411077917?>
https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09 

Password: 24

Or Telephone：203-432-9666 (2-ZOOM if on-campus) or 646 568 7788

Meeting ID: 924 1107 7917

 

 

 

 


Department of Statistics and Data Science


Yale University
24 Hillhouse Avenue
New Haven, CT 06511

t 203.432.0666
f 203.432.0633

 

 

 

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