event thumbnail image
Probabilistic Modeling and Machine Learning in Structural and Systems Biology
Pascal

Game theoretic models in molecular biology

author: Tommi Jaakkola, MIT - Massachusetts Institute of Technology

Description

There are many challenges in computational modeling of biological processes. Few processes such as signaling pathways operate in- dependently of others but rather involve substantial coordination and shared resources. The level of abstraction appropriate for understand- ing different processes, e.g, viewing a pathway as a filter or a molecular cascade, varies by context and the type of predictions sought.

You might be experiencing some problems with Your Video player.
Slides
0:00 Game theoretic models in molecular biology
1:12 Abstraction, scale
2:23 Abstractions cont’d
4:42 Abstractions, predictions and data
6:25 Our approach - game theory
6:39 Some background
8:50 Our approach - game theory
9:10 Example - protein-DNA binding pt 1
9:59 Example - protein-DNA binding pt 2
10:55 Example - protein-DNA binding pt 3
11:09 Example - protein-DNA binding pt 4
11:32 DNA-binding - formulation
12:32 Transport
14:06 Local binding
15:18 Allocation to sites or regions
16:22 Mapping to game theory
18:36 DNA-binding game - strategies
19:37 DNA-binding game - utilities pt 1
20:52 DNA-binding game - utilities pt 2
21:33 The binding game
22:20 Understanding the binding game pt 1
23:25 Understanding the binding game pt 2
24:42 DNA binding game - equilibria pt 1
24:57 DNA binding game - equilibria pt 2
25:15 DNA binding game - computation pt 1
25:33 DNA binding game - computation pt 2
25:53 DNA binding game - computation pt 3
26:05 Computation - some details
27:32 The algorithm pt 1
28:09 The algorithm pt 2
28:10 The algorithm pt 3
28:12 The algorithm pt 4
28:13 The algorithm pt 5
28:22 The algorithm pt 6
28:23 The algorithm pt 7
28:25 The algorithm pt 8
28:26 The algorithm pt 9
28:28 The algorithm pt 10
28:29 The algorithm pt 11
28:31 The algorithm pt 12
28:32 The algorithm pt 13
29:07 Validation (lambda-phage) pt 1
31:19 Validation (lambda-phage) pt 2
33:22 Validation (lambda-phage) pt 3
34:03 Genome-wide
34:54 Next steps
38:38 Acknowledgements

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: