Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Fumihiko Miyoshi is active.

Publication


Featured researches published by Fumihiko Miyoshi.


Bioinformatics | 1999

E-CELL: software environment for whole-cell simulation.

Masaru Tomita; Kenta Hashimoto; Koichi Takahashi; Thomas S. Shimizu; Yuri Matsuzaki; Fumihiko Miyoshi; Kiyoshi Saito; Sakura Tanida; Katsuyuki Yugi; J. C. Venter; Clyde A. Hutchison

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 modeling 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 expression and other features of cellular metabolism, as a set of reaction rules. E-CELL simulates cell behavior by numerically integrating the differential equations described implicitly 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/.


Bioinformatics | 2003

E-Cell 2: multi-platform E-Cell simulation system.

Koichi Takahashi; Naota Ishikawa; Y. Sadamoto; Hiroyuki Sasamoto; Seiji Ohta; A. Shiozawa; Fumihiko Miyoshi; Yasuhiro Naito; Yoichi Nakayama; Masaru Tomita

A new version of the E-Cell simulation system,which runs on Windows as well as Linux, has been released as free software under the terms of the GNU General Public License.


Journal of Biological Rhythms | 2007

A mathematical model for the kai-protein-based chemical oscillator and clock gene expression rhythms in cyanobacteria

Fumihiko Miyoshi; Yoichi Nakayama; Kazunari Kaizu; Hideo Iwasaki; Masaru Tomita

In the cyanobacterium, Synechococcus elongatus, most promoters are regulated by a circadian clock under continuous light (LL) conditions. Nevertheless, the basic circadian oscillation is primarily generated by alternating KaiC phosphorylation/dephosphorylation reactions at the posttranslational level. Indeed, the KaiC phosphorylation cycle was recently reconstituted in vitro by incubating KaiA, KaiB, and KaiC proteins with ATP. However, the molecular dynamics of this chemical oscillation and the mechanism that drives the circadian transcription/translation rhythms remain unknown. In this report, the KaiC phosphorylation cycle and the gene regulatory network in the cyanobacterial circadian system have been modeled. The model reproduces the robust KaiC phosphorylation cycle in the absence of de novo gene expression as is observed in vitro, as well as its coupling to transcriptional/translational feedback in LL conditions in vivo. Moreover, the model is consistent with most previous experiments, including various combinations of genetic knockout or overexpression of kai genes. It also predicts that multiple KaiC phosphorylation states and dynamic Kai protein interactions may be required for the cyanobacterial circadian system.


New Generation Computing | 2000

The E-CELL project: Towards integrative simulation of cellular processes

Masaru Tomita; Kenta Hashimoto; Koichi Takahashi; Yuri Matsuzaki; Ryo Matsushima; Kanako Saito; Katsuyuki Yugi; Fumihiko Miyoshi; Hisako Nakano; Sakura Tanida; Yusuke Saito; Akiko Kawase; Naoko Watanabe; Thomas S. Simizu; Yoichi Nakayama

The E-CELL project was launched in 1996 at Keio University in order to model and simulate various cellular processes with the ultimate goal of simulating the cell as a whole. The first version of the E-CELL simulation system, which is a generic software package for cell modeling, was completed in 1997. The E-CELL system enables us to model not only metabolic pathways but also other higher-order cellular processes such as protein synthesis and membrane transport within the same framework. These various processes can then be integrated into a single simulation model.Using the E-CELL system, we have successfully constructed a virtual cell with 127 genes sufficient for “self-support”. The gene set was selected from the genome of Mycoplasma genitalium the organism having the smallest known genome. The set includes genes for transcription, translation, the glycolysis pathway for energy production, membrane transport, and the phospholipid biosynthesis pathway for membrane structure.The E-CELL system has been made available for beta testing from our website (http: //www.e-cell.org).


Artificial Life | 2008

Comparative study of circadian oscillatory network models of drosophila

Yukino Ogawa; Kazuharu Arakawa; Kazunari Kaizu; Fumihiko Miyoshi; Yoichi Nakayama; Masaru Tomita

The circadian clock of Drosophila is a model pathway for research in biological clock mechanisms, both with traditional experimental approaches and with emerging systems biology approaches utilizing mathematical modeling and in silico computer simulation. Dynamic diurnal oscillations are achieved by the complex interaction of components as a system, and mathematical reconstruction has proven to be an invaluable means of understanding such systematic behavior. In this study, we implemented eight published models of the Drosophila circadian clock in Systems Biology Markup Language (SBML) for comparative systems biology studies using E-Cell Simulation Environment version 3, to examine the system-level requirements for the clock mechanism to be robust, by calculating the period and amplitude sensitivity coefficients with simulation experiments. While all models were generally robust as determined by the network topology of the oscillatory feedback loop structure, existing models place relatively strong emphasis on transcription regulation, although this is a limitation on robustness. We suggest that more comprehensive modeling including protein phosphorylation, polymerization, and nuclear transport with regard to amplitude sensitivity will be necessary for understanding the light entrainment and temperature compensation of circadian clocks.


research in computational molecular biology | 2000

The E-CELL project: towards integrative simulation of cellular processes

Masaru Tomita; Kenta Hashimoto; Koichi Takahashi; Yuri Matsuzaki; Ryo Matsushima; Katsuyuki Yugi; Fumihiko Miyoshi; Hisako Nakano; Yusuke Saito; S. Shimizu; Yoichi Nakayama

The E-CELL project was launched in 1996 at Keio University in order to model and simulate various cellular processes with the ultimate goal of simulating the cell as a whole. The first version of the E-CELL simulation system, which is a generic software package for cell modeling, was completed in 1997. The E-CELL system enables us to model not only metabolic pathways but also other higher-order cellular processes such as protein synthesis and membrane transport within the same framework. These various processes can then be integrated into a single simulation model.


Genome Informatics | 1997

E-CELL: Software Environment for Whole Cell Simulation.

Masaru Tomita; Tom Shimizu; Kanako Saito; J. Craig Venter; Kenta Hashimoto; Yuri Matsuzaki; Sakura Tanida; Clyde A. Hutchison; Kouichi Takahashi; Fumihiko Miyoshi; Katsuyuki Yugi


Genome Informatics | 1999

Generic Gene Expression System for Modeling Complex Gene Regulation Network Using E-CELL System

Kenta Hashimoto; Fumihiko Miyoshi; Sae Seno; Masaru Tomita


Seikagaku | 2003

[E-Cell simulation system and its application to the modeling of circadian rhythm].

Fumihiko Miyoshi; Yoichi Nakayama; Masaru Tomita


Genome Informatics | 1998

E-CELL Project Overview:Towards Integrative Simulation of Cellular Processes

Masaru Tomita; Kenta Hashimoto; Kouichi Takahashi; Yuri Matsuzaki; Ryo Matsushima; Kanako Saito; Katsuyuki Yugi; Fumihiko Miyoshi; Hisako Nakano; Sakura Tanida; Thomas S. Shimizu

Collaboration


Dive into the Fumihiko Miyoshi's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge