Biomolecular Network Simulator: Software for Stochastic Simulations of Biomolecular Reaction Networks on Supercomputers

POSTER

Abstract

At the functional level, all biological processes in cells can be represented as a series of biochemical reactions that are stochastic in nature. We have developed a software package called Biomolecular Network Simulator (BNS) that uses a stochastic approach to model and simulate complex biomolecular reaction networks. Two simulation algorithms - the exact Gillespie stochastic simulation algorithm and the approximate adaptive tau-leaping algorithm - are implemented for generating Monte Carlo trajectories that describe the evolution of a system of biochemical reactions. The software uses a combination of MATLAB and C-coded functions and is parallelized with the Message Passing Interface (MPI) library to run on multiprocessor architectures. We will present a brief description of the Biomolecular Network Simulator software along with some examples.

*This work was supported by funds provided by the DOD High Performance Computing Modernization Program (HPCMP) and by the Air Force Office of Scientific Research (AFOSR).

Authors

  • Yaroslav Chushak

    • Biotechnology HPC Software Applications Institute, US Army Medical Research and Materiel Command
    • Biotechnology HPC Software Applications Institute, USAMRMC
  • Brent Foy

    • Wright State University, Dayton, OH 45435
  • John Frazier

    • Air Force Research Laboratory, Wright-Patterson AFB