Two-phase partition method for simulating a biological system at an extremely high speed.

To accelerate the calculation speed for simulating a biological system, we proposed a novel simulation method, the two-phase partition method, which calculated molecular processes at a higher speed than any other proposed method. This method divides a biological system, which can be described by chemical reaction equations, into two-phases: the binding and reaction phases. We demonstrated the capability of the two-phase partition method to simulate a complex biological system at an extremely high speed and clarified the accuracy of the simulation. The two-phase partition method is very useful for simulating complex interactions among proteins and DNAs.

[1]  Fumihide Shiraishi,et al.  The Tricarboxylic Acid Cycle in Dictyostelium discoideum , 2001 .

[2]  A. Arkin,et al.  Stochastic kinetic analysis of developmental pathway bifurcation in phage lambda-infected Escherichia coli cells. , 1998, Genetics.

[3]  J. H. Hofmeyr,et al.  MetaModel: a program for modelling and control analysis of metabolic pathways on the IBM PC and compatibles , 1991, Comput. Appl. Biosci..

[4]  J. Tyson,et al.  Chemical kinetic theory: understanding cell-cycle regulation. , 1996, Trends in biochemical sciences.

[5]  David F. Ollis,et al.  Biochemical Engineering Fundamentals , 1976 .

[6]  Masahiro Okamoto,et al.  Design of virtual-labo-system for metabolic engineering: Development of biochemical engineering system analyzing tool-kit (BEST KIT) , 1997 .

[7]  H M Sauro,et al.  SCAMP: a general-purpose simulator and metabolic control analysis program , 1993, Comput. Appl. Biosci..

[8]  C Frieden,et al.  New PC versions of the kinetic-simulation and fitting programs, KINSIM and FITSIM. , 1997, Trends in biochemical sciences.

[9]  C Frieden,et al.  Analysis of numerical methods for computer simulation of kinetic processes: development of KINSIM--a flexible, portable system. , 1983, Analytical biochemistry.

[10]  T. Yura Regulation and conservation of the heat‐shock transcription factor σ32 , 1996 .

[11]  M A Savageau,et al.  The tricarboxylic acid cycle in Dictyostelium discoideum. I. Formulation of alternative kinetic representations. , 1992, The Journal of biological chemistry.

[12]  S. Leibler,et al.  Robustness in simple biochemical networks , 1997, Nature.

[13]  P Mendes,et al.  Biochemistry by numbers: simulation of biochemical pathways with Gepasi 3. , 1997, Trends in biochemical sciences.

[14]  Masaru Tomita,et al.  E-CELL: software environment for whole-cell simulation , 1999, Bioinform..

[15]  M. Ehlde,et al.  MIST: a user-friendly metabolic simulator , 1995, Comput. Appl. Biosci..

[16]  N. Peppas,et al.  Biochemical engineering fundamentals: J.E. Bailey and D.F. Ollis, McGraw Hill, New York, NY, 2nd edn., 1986, 984 pages, $47.95 , 1986 .

[17]  Pedro Mendes,et al.  GEPASI: a software package for modelling the dynamics, steady states and control of biochemical and other systems , 1993, Comput. Appl. Biosci..

[18]  Yuki Fujita,et al.  Design and Development of Software Environment for Whole-Cell Simulation , 2001 .