GemCell: A generic platform for modeling multi-cellular biological systems

被引:10
作者
Amir-Kroll, Hila [1 ]
Sadot, Avital [1 ]
Cohen, Irun R. [2 ]
Harel, David [1 ]
机构
[1] Weizmann Inst Sci, Dept Comp Sci & Appl Math, IL-76100 Rehovot, Israel
[2] Weizmann Inst Sci, Dept Immunol, IL-76100 Rehovot, Israel
基金
英国工程与自然科学研究理事会;
关键词
biological modeling; intercellular behavior; executable modeling; complex systems; statecharts;
D O I
10.1016/j.tcs.2007.11.014
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The mass and complexity of biological information requires computer-aided simulation and analysis to help scientists achieve understanding and guide experimentation. Although living organisms are composed of cells, actual genomic and proteomic data have not yet led to a satisfactory model of working cell in silico. We have set out to devise a user-friendly generic platform, GemCell, for Generic Executable Modeling of Cells, based on whole, functioning cells. Starting with the cell simplifies life, because all cells expresses essentially five generic types of behavior: replication, death, movement (including change of shape and adherence), export (secretion, signaling, etc.) and import (receiving signals, metabolites, phagocytosis, etc.). The details of these behaviors are specified in GemCell for particular kinds of cells as part of a database of biological specifics (the DBS), which specifies the cell properties and functions that depend on the cell's history, state, environment, etc. The DBS is designed in an intuitive fashion, so users are able to easily insert their data of interest. The generic part of GemCell, built using Statecharts, is a fully dynamic model of a cell, its interactions with the environment and its resulting behavior, individually and collectively. Model specificity emerges from the DBS, so that model execution is carried out by the statecharts executing with the aid of specific data extracted from the DBS dynamically. Our long term goal is for GemCell to serve as a broadly applicable platform for biological modeling and analysis, supporting user-friendly in silico experimentation, animation, discovery of emergent properties, and hypothesis testing, for a wide variety of biological systems. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:276 / 290
页数:15
相关论文
共 26 条
[1]  
BARJIS J, 1999, INT C INF INT SYST I
[2]  
CALDER M, 2005, P COMP METH SYST BIO, P179
[3]   BIOCHAM: an environment for modeling biological systems and formalizing experimental knowledge [J].
Calzone, Laurence ;
Fages, Francois ;
Soliman, Sylvain .
BIOINFORMATICS, 2006, 22 (14) :1805-1807
[4]  
COHEN IR, 2006, ENCY LIFE SCI
[5]  
COHEN IR, 1999, TENDING ADAMS GRDEN
[6]   Explaining a complex living system: dynamics, multi-scaling and emergence [J].
Cohen, Irun R. ;
Harel, David .
JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2007, 4 (13) :175-182
[7]   Finishing the euchromatic sequence of the human genome [J].
Collins, FS ;
Lander, ES ;
Rogers, J ;
Waterston, RH .
NATURE, 2004, 431 (7011) :931-945
[8]   Analysis of a generic model of eukaryotic cell-cycle regulation [J].
Csikasz-Nagy, Attila ;
Battogtokh, Dorjsuren ;
Chen, Katherine C. ;
Novak, Bela ;
Tyson, John J. .
BIOPHYSICAL JOURNAL, 2006, 90 (12) :4361-4379
[9]  
DRUSINSKY D, 2005, 48 MIDW S, P327
[10]   Reactive animation: Realistic modeling of complex dynamic systems [J].
Efroni, S ;
Harel, D ;
Cohen, IR .
COMPUTER, 2005, 38 (01) :38-+