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Modelling proteomes

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Modelling proteomes An integrated computational framework for systems biology research Ram Samudrala University of Washington How does the genome of an organism – PowerPoint PPT presentation

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Title: Modelling proteomes


1
Modelling proteomes An integrated computational
framework for systems biology research Ram
Samudrala University of Washington
How does the genome of an organism specify its
behaviour and characteristics?
2
Proteome all proteins of a particular system
60,000 in human
60,000 in rice
4500 in bacteria like Salmonella and E. coli
Several thousand distinct sequence families
3
Modelling proteomes understand the structure of
individual proteins
A few thousand distinct structural folds
4
Modelling proteomes understand their individual
functions
Thousands of possible functions
5
Modelling proteomes understand their expression
Different expression patterns based on time and
location
6
Modelling proteomes understand their
interactions
Interactions and expression patterns are
interdependent with structure and function
7
CASP6 prediction (model1) for T0215 5.0 Ã… Ca RMSD
for all 53 residues
Ling-Hong Hung/Shing-Chung Ngan
8
CASP6 prediction (model1) for T0281 4.3 Ã… Ca RMSD
for all 70 residues
Ling-Hong Hung/Shing-Chung Ngan
9
CASP6 prediction (model1) for T0231 1.3 Ã… Ca RMSD
for all 137 residues (80 ID)
Tianyun Liu
10
CASP6 prediction (model1) for T0271 2.4 Ã… Ca RMSD
for all 142 residues (46 ID)
Tianyun Liu
11
Prediction of HIV-1 protease-inhibitor binding
energies with MD
  • Can predict resistance/susceptibility to six FDA
    approved inhibitors with 95 accuracy in
    conjunction with knowledge-based methods
  • http//protinfo.compbio.washington.edu/pirspred/

Ekachai Jenwitheesuk
12
Prediction of protein interaction networks
Assign confidence based on similarity and
strength of interaction Key paradigm is the use
of homology to transfer information across
organisms not limited to yeast, fly, and
worm Consensus of interactions helps with
confidence assignments
Jason McDermott
13
E. coli predicted protein interaction network
Jason McDermott
14
M. tuberculosis predicted protein interaction
network
Jason McDermott
15
C. elegans predicted protein interaction network
Jason McDermott
16
H. sapiens predicted protein interaction network
Jason McDermott
17
Network-based annotation for C. elegans
Jason McDermott
18
Identifying key proteins on the anthrax predicted
network
Jason McDermott
Articulation point proteins
19
Identification of virulence factors
Jason McDermott
20
Bioverse explore relationships among molecules
and systems
http//bioverse.compbio.washington.edu
Jason McDermott/Michal Guerquin/Zach Frazier
21
Bioverse explore relationships among molecules
and systems
http//bioverse.compbio.washington.edu
Jason McDermott/Michal Guerquin/Zach Frazier
22
Bioverse explore relationships among molecules
and systems
http//bioverse.compbio.washington.edu
Jason McDermott/Michal Guerquin/Zach Frazier
23
Bioverse explore relationships among molecules
and systems
http//bioverse.compbio.washington.edu
Jason McDermott/Michal Guerquin/Zach Frazier
24
Bioverse - Integrator
Aaron Chang
25
Where is all this going?
26
http//bioverse.compbio.washington.edu http//prot
info.compbio.washington.edu
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