event thumbnail image
Workshop

Discriminative Graphical Models for Protein Quaternary Structure Motif Detection

author: Yan Liu, Carnegie Mellon University
You might be experiencing some problems with Your Video player.
Slides
0:00 Protein Quaternary Fold Recognition Using Conditional Graphical Models
0:38 Snapshot of Cell Biology
1:47 Example Protein Structures
3:54 Predicting Protein Structures
7:41 Quaternary Folds and Alignments
9:52 Related Work
12:44 Conditional Random Fields
13:55 Our Solution: Conditional Graphical Models
16:27 Linked Segmentation CRF
17:37 Linked Segmentation CRF (II)
18:25 Approximate Inference - Learning
20:34 Approximate Inference - Inference
21:47 Experiments: Target Quaternary Fold
22:46 Features for Protein Fold Recognition
23:41 Experiment Results: Fold Recognition
25:44 Experiment Results: Alignment Prediction
26:45 Experiment Results: Discovery of New Membership Proteins
28:16 Conclusion

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: