Modeling Molecular Interactions Using Stochastic
Petri Nets
"Quantitative modeling of stochastic systems
in molecular biology using Stochastic Petri Nets", P.J.E.Goss and
J.Peccoud
ABSTRACT: An integrated understanding of molecular and developmental
biology must consider both the large number of molecular species involved
and the low concentrations of many species in vivo. Quantitative stochastic
models of molecular interaction networks can be expressed as Stochastic
Petri Nets (SPNs), a mathematical formalism developed in Computer Science.
Existing software can be used to define and solve SPNs, allowing biologists
to concentrate on modeling rather than implementation, and to exchange
models via a standardized format. Results are computed numerically or by
simulation for several models as an illustration of the approach and the
broad applicability of detailed stochastic models in biology.
For further information, please follow one the following links.
- Protein Dimerization: 2R <--> R2
- Protein Synthesis from mRNA
- Simple Model of Gene Product Synthesis
- Plasmid Replication
- Prion Propagation
Links and Further Information
Last updated on 6/20/97
Please send me any question or comment to Peter
Goss or toJean Peccoud