Università di Bologna Fourth day

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Università di Bologna Fourth day Abstract interpretation of protein-protein interactions networks Jérôme Feret Laboratoire d'Informatique de l'École Normale Supérieure INRIA, ÉNS, CNRS feret Thursday, April the 21st

  • laboratoire d'informatique de l'ecole normale

  • differential models

  • msb4100014-e2 molecularsystemsbiology2005

  • x1 ·

  • integrated ? opaque

  • dt


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Università di Bologna Fourth day
Abstract interpretation of proteinprotein interactions networks
Jérôme Feret Laboratoire d’Informatique de l’École Normale Supérieure INRIA, ÉNS, CNRS http://www.di.ens.fr/feret
Thursday, April the 21st
Jérôme Feret
Signalling Pathways
2
Eikuch, 2007
Thursday, April the 21st
Pathway
maps
Thursday, April the 21st
3
Oda, Matsuoka, Funahashi, Kitano, Molecular Systems Biology, 2005
Jérôme Feret
Differential models
dx 1 =k1x1x2+k1x3 dt dx 2 =k1x1x2+k1x3 dt dx 3 =k1x1xkx3+ 2k2x3x3k2x4) dt21 dx vx 424 5 =k2xk2x4+(k3x4k3x5) dt3p+x 4 5 dx 5 =∙ ∙ ∙ dt . dxn =k1x1c2+k1x3 dt
do not describe the structure of molecules; combinatorial explosion:forces choices that are not principled; a nightmare to modify.
Jérôme Feret
4
Thursday, April the 21st
A gap between two worlds
Two levels of description: 1. Databases of proteins interactions in natural language + documented and detailed description + transparent description cannot be interpreted 2. ODEbased models + can be integrated opaque modelling process, models can hardly be modified there are also some scalability issues.
Jérôme Feret
5
Thursday, April the 21st
Rulebased approach
We use site graph rewrite systems
1. The description level matches with both the observation level and the intervention level of the biologist. We can tune the model easily. 2. Model description is very compact. 3. Quantitative semantics can be defined.
Jérôme Feret
6
Thursday, April the 21st
Jérôme Feret
Complexity walls
7
Thursday, April the 21st
Static analysis of reachable species (I/II)
Semifluid medium: the notion of individual is meaningless.
Design a static analysis to approximate the set of reachable species [VMCAI’08] which focuses on the relationships between the states of the sites of each agent:
This analysis is efficient, suitable to our problem, and accurate.
Jérôme Feret
8
Thursday, April the 21st
Static analysis of reachable species (II/II)
Applications: 1. check the consistency of a model [ICCMSE’07] 2. compute the properties to allow fast simulation[AP LAS’07] 3. simplify models, 4. compute independent fragments of chemical species[PNAS’09, LICS’10,Chaos’10]
The analysis is complete (no false positif) for a significatif kernel of Kappa . [VMCAI’08]
Jérôme Feret
9
Thursday, April the 21st
Model
reduction
The ground differential system uses one variable per chemical species; We directly compute its exact projection over independent fragments of chem ical species. With a small model, 356 chemical species are reduced into 38 fragments:
800
700
600
500
400
Concentration 300
200
100
0 0
1
/home/feret/demo/egfr-compressed.ka
(reduced) [EGFR(Y48!0),SHC(Y7!1,pi!0),GRB2(a!1,b!2),SOS(d!2)] (reduced) [EGFR(Y68!0),GRB2(a!0,b!1),SOS(d!1)] (ground) [EGFR(Y48!0),SHC(Y7!1,pi!0),GRB2(a!1,b!2),SOS(d!2)] (ground) [EGFR(Y68!0),GRB2(a!0,b!1),SOS(d!1)]
2
19 On a bigger model, 10 chemical ments.[PNAS’09,LICS’10,Chaos’10]
Jérôme Feret
3 Time
4
5
6
species are reduced into 180 000 frag
10
Thursday, April the 21st
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