E-CELL: software environment for whole-cell simulation

被引:459
|
作者
Tomita, M
Hashimoto, K
Takahashi, K
Shimizu, TS
Matsuzaki, Y
Miyoshi, F
Saito, K
Tanida, S
Yugi, K
Venter, JC
Hutchison, CA
机构
[1] Keio Univ, Lab Bioinformat, Fujisawa, Kanagawa 252, Japan
[2] Inst Genom Res, Rockville, MD 20850 USA
关键词
D O I
10.1093/bioinformatics/15.1.72
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: Genome sequencing projects and further systematic functional analyses of complete gene sets are producing an unprecedented mass of molecular information for a wide range of model organisms. This provides us with a detailed account of the cell with which we may begin to build models for simulating intracellular molecular processes to predict the dynamic behavior of living cells. Previous work in biochemical and genetic simulation has isolated well-characterized pathways for detailed analysis, but methods for building integrative models of the cell that incorporate gene regulation, metabolism and signaling have not been established. We, therefore, were motivated to develop a software environment for building such integrative models based on gene sets, and running simulations to conduct experiments in silico. Results: E-CELL, a modelling and simulation environment for biochemical and genetic processes, has been developed. The E-CELL system allows a user to define functions of proteins, protein-protein interactions, protein-DNA interactions, regulation of gene expressions and other features of cellular cell behavior by numerically integrating the differential equations described implicity in these reaction rules. The user can observe, through a computer display, dynamic changes in concentrations of proteins, protein complexes and other chemical compounds in the cell. Using this software, we constructed a model of a hypothetical cell with only 127 genes sufficient for transcription, translation, energy production and phospholipid synthesis. Most of the genes are taken from Mycoplasma genitalium, the organism having the smallest known chromosome, whose complete 580 kb genome sequence was determined at TIGR in 1995. We discuss future applications of the E-CELL system with special respect to genome engineering. Availability: The E-CELL software is available upon request. Supplementary information: The complete list of rules of the developed cell model with kinetic parameters can be obtained via our web site at: http://e-cell.org/. Contact: mt@sfc.keio.ac.jp.
引用
收藏
页码:72 / 84
页数:13
相关论文
共 50 条
  • [21] A whole-cell neurosensor: Simulation of summed asynchronous neural activity
    Gaumond, R
    Moyer, J
    Silva, R
    PROCEEDINGS OF THE IEEE 28TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE, 2002, : 27 - 28
  • [22] Current state and prospect of E-cell
    Zhao, Ming-Sheng
    Shang, Tong
    Sun, Dong-Yong
    Jiang, Jing-Hong
    Tang, Jian
    Wu, You-Shou
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2001, 29 (SUPPL.): : 1740 - 1743
  • [23] High-Performance Whole-Cell Simulation Exploiting Modular Cell Biology Principles
    Das, Barnali
    Mitra, Pralay
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, 61 (03) : 1481 - 1492
  • [24] Whole-cell heater for the diamond anvil cell
    Dubrovinskaia, N
    Dubrovinsky, L
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2003, 74 (07): : 3433 - 3437
  • [25] WHOLE-CELL BASED BIOSENSORS
    HICKMAN, JJ
    FOSTER, KE
    KOWTHA, V
    BEY, P
    STENGER, DA
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1994, 207 : 76 - BTEC
  • [27] Whole-cell biocatalysts by design
    Lin, Baixue
    Tao, Yong
    MICROBIAL CELL FACTORIES, 2017, 16
  • [28] The future of whole-cell modeling
    Macklin, Derek N.
    Ruggero, Nicholas A.
    Covert, Markus W.
    CURRENT OPINION IN BIOTECHNOLOGY, 2014, 28 : 111 - 115
  • [29] The principles of whole-cell modeling
    Karr, Jonathan R.
    Takahashi, Koichi
    Funahashi, Akira
    CURRENT OPINION IN MICROBIOLOGY, 2015, 27 : 18 - 24
  • [30] Whole-cell biocatalysts by design
    Baixue Lin
    Yong Tao
    Microbial Cell Factories, 16