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IMA Hot Topics Workshop

Stochastic Models for Intracellular Reaction Networks

May 11-13, 2008

Cosponsored with the NSF Focused Research Group 0553701 "Stochastic models for intracellular reaction networks"

Organizers:
Gheorghe Craciun Mathematics and Biomolecular Chemistry, University of Wisconsin-Madison
Thomas G. Kurtz Mathematics and Statistics, University of Wisconsin-Madison
Lea Popovic Mathematics and Statistics, Concordia University
Grzegorz A. Rempala Mathematics and Biochemistry and Molecular Biology, University of Louisville
Ruth Williams Mathematics, University of California-San Diego
John Yin Chemical and Biological Engineering, University of Wisconsin-Madison

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Description:

With the completion of numerous genome projects for bacteria, yeast, and humans, there is an increasing interest in understanding how molecules encoded within the genomes interact to define various functional networks of the cell. These intra-cellular networks may be classified as gene regulatory networks, protein interaction networks, or metabolic networks. Such networks of integrated molecular reactions tend to involve many different molecular species, thus posing complex analytical problems. For prediction and simulation purposes it is essential to reduce both the model and computational complexity of the problem, while still capturing all the essential characteristics and potential behavior of the network. This workshop will summarize some of the new and classical approaches to developing stochastic models for chemical reaction networks, beginning with Markov chain models and proceeding to some more recent ones which take into account the stepwise development of reactions involving RNA and DNA molecules. The workshop will focus on the following topics:

  • Stochastic models of reaction networks.
  • Structural properties of reaction networks and the relationship between structural properties and system behavior.
  • Simulation of high dimensional systems.
  • Parameter estimation and model validation for complex stochastic models.

The workshop will be proceeded by a tutorial that will help participants develop the common base of knowledge that will make the workshop presentations accessible.

Schedule

Week 1: Sunday
Week 2:  | Monday | Tuesday
  Sunday, May 11
Introductory lectures
12:00pm-1:00pm Registration and coffee   EE/CS 3-176
1:00pm-1:15pm Welcome and introduction Chehrzad Shakiban (University of Minnesota) EE/CS 3-180
1:15pm-2:15pm Opening plenary talk: Stochastic analysis is the fundamental tool for understanding biological function Michael C. Reed (Duke University) EE/CS 3-180
2:15pm-2:30pm Coffee   EE/CS 3-176
2:30pm-3:30pm Models and measures of virus growth and infection spread John Yin (University of Wisconsin) EE/CS 3-180
3:30pm-4:00pm Coffee   EE/CS 3-176
4:00pm-5:00pm Analyzing stochastic models Thomas G. Kurtz (University of Wisconsin) EE/CS 3-180
5:00pm-5:30pm Second chances   EE/CS 3-180
6:30pm-8:30pm Workshop dinner   Caspian Bistro
2418 University Ave SE Minneapolis, MN 55414
612-623-1133  
  Monday, May 12
8:30am-9:00am Coffee   EE/CS 3-176
9:00am-10:00am Subdiffusion and reaction networks in biophysics Samuel Kou (Harvard University) EE/CS 3-180
10:00am-10:30am Coffee   EE/CS 3-176
10:30am-11:30am Fundamental limits on the suppression of randomness in biology Johan Paulsson (Harvard Medical School) EE/CS 3-180
11:30am-1:15pm Lunch   EE/CS 3-176
1:15pm-2:45pm An introduction to discrete-event simulation Peter W. Glynn (Stanford University), Peter J. Haas (IBM Research Division) EE/CS 3-180
2:45pm-3:15pm Coffee   EE/CS 3-176
3:15pm-3:45pm Part I: Local and global stability of biochemical reaction network dynamics Gheorghe Craciun (University of Wisconsin) EE/CS 3-180
3:50pm-4:20pm Part II: Homotopy methods for counting reaction network equilibria Ruth J. Williams (University of California, San Diego) EE/CS 3-180
4:20pm-4:50pm Second chances   EE/CS 3-180
4:50pm-5:00pm Group photo    
5:00pm-6:30pm Reception and Poster Session
Lind Hall 400
Product form stationary distributions for deficiency zero chemical reaction networks David F. Anderson (University of Wisconsin)
Solutions to inverse problems of biochemical networks using stochastic methods Mónica F. Bugallo (SUNY)
Petar M. Djuric (SUNY)
Interlaced Euler scheme for stiff stochastic differential equations Ioana Cipcigan (University of Maryland Baltimore County)
Muruhan Rathinam (University of Maryland Baltimore County)
Stochastic simulations of reaction-diffusion models Anilkumar Devarapu (University of Louisville)
Simulating discrete biochemical reaction systems Arnab Ganguly (University of Wisconsin)
Multiscale methods in a heat shock response model Hye-Won Kang (University of Wisconsin)
Stochastic models for intracellular reaction networks Yiannis N. Kaznessis (University of Minnesota)
Stochastic control analysis for biological reaction systems Kyung Hyuk Kim (University of Washington)
Predicting translation rate from sequence Howard Salis (University of California, San Francisco)
Stochastic modeling of vesicular stomatitis virus(VSV) growth in cells: An application of order statistics to predict replication delays Rishi Srivastava (University of Wisconsin)
Stochastic modeling of bistable chemical systems: Schlogl's model Melissa Vellela (University of Washington)
Biochemical and network modeling of the mammalian suprachiasmatic nucleus Richard Yamada (University of Michigan)
  Tuesday, May 13
8:15am-8:45am Coffee   EE/CS 3-176
8:45am-9:45am Stochastic oscillations in small genetic networks Lev S. Tsimring (University of California, San Diego) EE/CS 3-180
9:45am-10:45am Multiscale models for synthetic biology Yiannis N. Kaznessis (University of Minnesota) EE/CS 3-180
10:45am-11:15am Coffee   EE/CS 3-176
11:15am-12:15pm Stochastic aspects of actin filament dynamics Hans G. Othmer (University of Minnesota) EE/CS 3-180
12:15pm-1:45pm Lunch   EE/CS 3-180
1:45pm-2:45pm Bayesian inference for stochastic intracellular reaction network models Darren James Wilkinson (University of Newcastle upon Tyne) EE/CS 3-180
2:45pm-3:45pm Inferring an underlying reaction network from the data Grzegorz A. Rempala (University of Louisville) EE/CS 3-180
3:45pm-4:15pm Coffee   EE/CS 3-176
4:15pm-4:45pm Second chances   EE/CS 3-180
4:45pm-5:45pm Closing plenary talk: Metabolic engineering and metabolic modeling: where do we go from here? James C. Liao (University of California, Los Angeles) EE/CS 3-180

LIST OF CONFIRMED PARTICIPANTS

NAMEDEPARTMENTAFFILIATION
Claudio AltafiniDepartment of Functional Analysis and Applications International School for Advanced Studies (SISSA/ISAS)
David AndersonDepartment of Mathematics University of Wisconsin-Madison
Ping AoDepartment of Mechanical Engineering University of Washington
Douglas ArnoldInstitute for Mathematics and its Applications University of Minnesota
Banu BaydilDepartment of Mathematical Sciences Rensselaer Polytechnic Institute
Yermal BhatInstitute for Mathematics and its Applications University of Minnesota
Lisa BishopDepartment of Applied Mathematics University of Washington
Khalid BoushabaDepartment of Mathematics Iowa State University
Maury BramsonSchool of Mathematics University of Minnesota
Mónica BugalloDepartment of Electrical and Computer Engineering SUNY
Don ButtonMarine Science/Biochemistry University of Alaska
Maria-Carme CaldererSchool of Mathematics University of Minnesota
Yang CaoDepartment of Computer Science Virginia Polytechnic Institute and State University
Teng ChenDepartment of Mathematics University of Central Florida
Lauren ChildsCenter for Applied Mathematics Cornell University
Ioana CipciganDepartment of Mathematics & Statistics University of Maryland Baltimore County
Gheorghe CraciunDepartment of Mathematics and Department of Biomolecular Chemistry University of Wisconsin-Madison
Anilkumar Devarapu University of Louisville
Lee DeVilleDepartment of Mathematics University of Illinois at Urbana-Champaign
Ton DiekerThomas J. Watson Research Center IBM
Kequan Ding Chinese Academy of Sciences
Petar DjuricDepartment of Electrical and Computer Engineering SUNY
Walid FakhouriDepartment of Biochemistry and Molecular Biology Michigan State University
Sergei FedotovSchool of Mathematics University of Manchester
Christodoulos FloudasDepartment of Chemical Engineering Princeton University
John FricksDepartment of Mathematics Pennsylvania State University
Arnab GangulyMathematics Department University of Wisconsin-Madison
Peter GlynnDepartment of Management Science and Engineering Stanford University
Paula GrajdeanuMathematical Biosciences Institute Ohio State University
Peter Haas IBM Research Division
Esfandiar HaghverdiSchool of Informatics Indiana University
Adam HalaszDepartment of Mechanical Engineering University of Pennsylvania
Anthony Hill University of Minnesota
Hye-Won KangDepartment of Mathematics University of Wisconsin-Madison
Yiannis KaznessisDepartment of Chemical Engineering and Materials Science University of Minnesota
Kyung KimDepartment of Bioengineering University of Washington
Dmitry KondrashovThe Division of Biological Sciences University of Chicago
Samuel KouDepartment of Statistics Harvard University
Peter KramerDepartment of Mathematical Sciences Rensselaer Polytechnic Institute
Thomas KurtzDepartment of Mathematics University of Wisconsin-Madison
Yury KutoyantsLaboratoire de Statistique et Processus Université du Maine
Yueheng LanDepartment of Mechanical Engineering University of California, Santa Barbara
Chang LeeDepartment of Mathematical Sciences Worcester Polytechnic Institute
James LiaoDepartment of Chemical and Biomolecular Engineering University of California, Los Angeles (UCLA)
Di LiuDepartment of Mathematics Michigan State University
Hailiang LiuDepartment of Mathematics Iowa State University
Roger LuiDepartment of Mathematical Sciences Worcester Polytechnic Institute
M. David MarksDepartment of Plant Biology University of Minnesota
Scott McKinleyMathematics Department Duke University
Bence MelykutiDepartment of Statistics University of Oxford
Vicenc MendezDepartment of Physics Autonomous University of Barcelona
Hitesh MistryDepartment of Mathematics University of Dundee
Michael MonineDepartment of Theoretical Biology and Biophysics Los Alamos National Laboratory
Ambarish NagTheoretical Biology and Biophysics Department Los Alamos National Laboratory
Timothy NewmanDepartment of Physics Arizona State University
David OddeDepartment of Biomedical Engineering University of Minnesota
Hans OthmerDepartment of Mathematics University of Minnesota
Johan PaulssonDepartment of Systems Biology Harvard Medical School
Lea PopovicDepartment of Mathematics & Statistics Concordia University
Muruhan RathinamDepartment of Mathematics & Statistics University of Maryland Baltimore County
Michael ReedDepartment of Mathematics Duke University
Grzegorz RempalaDepartment of Mathematics University of Louisville
Alexander RoitershteinDepartment of Mathematics Iowa State University
Howard Salis University of California, San Francisco
Sebastian SandersiusDepartment of Physics Arizona State University
Deena SchmidtInstitute for Mathematics and its Applications University of Minnesota
Chehrzad ShakibanInstitute of Mathematics and its Applications University of Minnesota
Vassilios Sotiropoulos University of Minnesota
Rishi SrivastavaDepartment of Chemical and Biological Engineering University of Wisconsin-Madison
David TelloDepartment of Mathematics & Statistics Arizona State University
Lev TsimringInstitute for Nonlinear Science University of California, San Diego
Melissa VellelaDepartment of Applied Mathematics University of Washington
Jorge VinalsDepartment of Physics McGill University
Jin WangDepartment of Chemistry, Physics and Applied Mathematics SUNY
Darren WilkinsonSchool of Mathematics and Statistics University of Newcastle upon Tyne
Ruth WilliamsDepartment of Mathematics University of California, San Diego
Zhijun WuDepartment of Mathematics Iowa State University
Richard YamadaDepartment of Mathematics University of Michigan
John YinDepartment of Chemical and Biological Engineering University of Wisconsin-Madison
Zhigang ZhangDepartment of Mathematics University of Houston