ongoing computational work at the molecular sciences...

8
Ongoing computational work at the Molecular Sciences Institute and the CQGF supporting quantitative understanding of cell signaling Steve Andrews the Molecular Sciences Institute Berkeley, California, USA Centers of Excellence in Genomic Science Caltech October 17, 2008

Upload: dangtuyen

Post on 08-Apr-2018

219 views

Category:

Documents


3 download

TRANSCRIPT

Ongoing computational work at the MolecularSciences Institute and the CQGF supportingquantitative understanding of cell signaling

Steve Andrewsthe Molecular Sciences Institute

Berkeley, California, USA

Centers of Excellence in Genomic ScienceCaltech

October 17, 2008

Smoldyn: a spatial stochastic biochemical simulator

Smoldyn: Smoluchowski dynamics• Space is 3-dimensional and continuous• Stochastic: molecules move by Brownian motion• Reactions occur when molecules collide• Realistic molecule-membrane interactions

A general purpose toolFor more information and to download:http://www.smoldyn.org

Why simulate space and stochasticity?• signal transduction• macromolecular crowding• diffusion in membranes

100 nm

Dose response alignment

Figure: Wang and Dohlman, Science, 306:1508, 2004.

Yeast mating pheromone signaling pathway

α

PRM1

Dose response alignmentYeast mating pheromone signaling pathway

α

PRM1

We observe dose-responsealignment at many stages

Why?How?

Simulating effects of different pathway architectures

α

Ai Aa

Bi

kAakAi

kαAa

Ba

kBakBi

kABa

kDAi

Ca

kCakCi

kBCa

Da

kDakDi

kCDa

Ci

Di

α A B C D

Concept

Precise definition

HillSim• finds steady-state activities• finds dose-response curves• fits them to Hill functions

amplitude

EC50

baseline

Hillcoeff.

simulated

Simulating effects of different pathway architectures

α

Ai Aa

Bi

kAakAi

kαAa

Ba

kBakBi

kABa

kDAi

Ca

kCakCi

kBCa

Da

kDakDi

kCDa

Ci

Di

α A B C D

Concept

Precise definition

HillSim• finds steady-state activities• finds dose-response curves• fits them to Hill functions• optimizes alignment

score =actualn, p ! targetn, p

" n, p

#

$%

&

'(

2

Hillparameters

)nodes

)

amplitude

EC50

baseline

Hillcoeff.

simulated

target

Achieving dose response alignment

α A B C D

α A B C D

α A B C D

α A B C D

Linear Multi-input feedforward

Negative feedback Pull-up / pull-down

Acknowledgements

SmoldynDennis BrayKaren LipkowUpi BhallaDylan MorrisTom ShimizuAdam ArkinRoger Brent

Signaling architectureRoger BrentRichard YuGustavo PesceAlejandro Colman-LernerOrna ResnekovAndrew Gordon