+ All Categories
Home > Documents > Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Date post: 11-Jan-2016
Category:
Upload: maximillian-booth
View: 215 times
Download: 0 times
Share this document with a friend
Popular Tags:
15
Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington
Transcript
Page 1: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Modelling, comparison, and analysis of proteomesRam Samudrala

University of Washington

Page 2: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

What is a “proteome”?

All proteins of a particular system(organelle, cell, organism)

What does it mean to “model a proteome”?

For any protein, we wish to:

- figure out what it looks like (structure or form)

- understand what it does (function)

Repeat for all proteins in a system

Understand the relationships between all of them

ANNOTATION{EXPRESSION

+INTERACTION

}

Page 3: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Pragmatic reasons:

- rational drug design and treatment of disease- protein and genetic engineering- build networks to model cellular pathways- study organismal function and evolution

?

Why should we model proteomes?

Intellectual challenge:Because it’s there!

Page 4: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Computational aspects of functional genomics

structure based methodsmicroenvironment analysis

zinc binding site?

structure comparison

homology function?

sequence based methods

sequence comparisonmotif searches

phylogenetic profilesdomain fusion analyses

+

experimental datasingle molecule + genomic/proteomic

+

*

**

*Bioverse

*

*

assign function toentire protein space

Page 5: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – explore relationships among molecules and systems

Jason McDermott

http://bioverse.compbio.washington.edu

Page 6: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – explore relationships among molecules and systems

Jason Mcdermott

Page 7: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – prediction of protein interaction networks

Jason Mcdermott

Interacting protein database

protein α

protein β

experimentallydeterminedinteraction

Target proteome

protein A85%

predictedinteraction

protein B90%

Assign confidence based on similarity and strength of interaction

Page 8: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – M. tuberculosis predicted protein interaction network

Jason McDermott

Page 9: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – E. coli predicted protein interaction network

Jason McDermott

Page 10: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – V. cholerae predicted protein interaction network

Jason McDermott

Page 11: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – C. elegans predicted protein interaction network

Jason McDermott

Page 12: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – H. sapiens predicted protein interaction network

Jason McDermott

Page 13: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – organisation of the interaction networks

Jason McDermottCi = 2n/ki(ki-1)

Page 14: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Bioverse – viewer

Aaron Chang

Page 15: Modelling, comparison, and analysis of proteomes Ram Samudrala University of Washington.

Take home message

Prediction of protein structure and function can be used to model whole genomes to understand

organismal function and evolution

Acknowledgements

Aaron ChangAshley LamEkachai JenwitheesukGong ChengJason McDermottKai WangLing-Hong Hung

Lynne TownsendMarissa LaMadridMike InouyeStewart MoughonShing-Chung NganYi-Ling ChengZach Frazier


Recommended