Youichi Nakayama

Summary

Affiliation: Keio University
Country: Japan

Publications

  1. ncbi Distinguishing enzymes using metabolome data for the hybrid dynamic/static method
    Nobuyoshi Ishii
    Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
    Theor Biol Med Model 4:19. 2007
  2. ncbi Hybrid dynamic/static method for large-scale simulation of metabolism
    Katsuyuki Yugi
    Institute for Advanced Biosciences, Keio University, Fujisawa, Kanagawa, 252 8520, Japan
    Theor Biol Med Model 2:42. 2005
  3. ncbi A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profiles
    Tomoya Kitayama
    Institute of Advanced Bioscience, Keio University, Fujisawa, 252 8520, Japan
    Theor Biol Med Model 3:24. 2006
  4. ncbi GEM System: automatic prototyping of cell-wide metabolic pathway models from genomes
    Kazuharu Arakawa
    Institute for Advanced Biosciences, Keio University, Fujisawa 252 8520, Japan
    BMC Bioinformatics 7:168. 2006
  5. ncbi A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
    Katsuyuki Yugi
    Institute for Advanced Biosciences, Keio University, Tsuruoka, 997 0035, Japan
    BMC Bioinformatics 6:299. 2005
  6. ncbi [Developing computer models of cellular processes]
    Youichi Nakayama
    Tanpakushitsu Kakusan Koso 47:1956-61. 2002
  7. ncbi Dynamic simulation of red blood cell metabolism and its application to the analysis of a pathological condition
    Yoichi Nakayama
    Institute for Advanced Biosciences, Keio University, Tsuruoka, 997 0017, Japan
    Theor Biol Med Model 2:18. 2005
  8. ncbi [Computer models of plant metabolism]
    Nobuyoshi Ishii
    Tanpakushitsu Kakusan Koso 48:2205-10. 2003

Collaborators

Detail Information

Publications8

  1. ncbi Distinguishing enzymes using metabolome data for the hybrid dynamic/static method
    Nobuyoshi Ishii
    Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
    Theor Biol Med Model 4:19. 2007
    ..However, no adequate method for developing a hybrid model from experimental data has been proposed...
  2. ncbi Hybrid dynamic/static method for large-scale simulation of metabolism
    Katsuyuki Yugi
    Institute for Advanced Biosciences, Keio University, Fujisawa, Kanagawa, 252 8520, Japan
    Theor Biol Med Model 2:42. 2005
    ..However, owing to the large amount of kinetic data required for dynamic simulation, MFA, which requires less information, has been used to manipulate large-scale pathways to determine metabolic outcomes...
  3. ncbi A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profiles
    Tomoya Kitayama
    Institute of Advanced Bioscience, Keio University, Fujisawa, 252 8520, Japan
    Theor Biol Med Model 3:24. 2006
    ..To solve this problem we propose a novel method involving power-law modelling of metabolic pathways from the Jacobian of the targeted system and the steady-state flux profiles by linearization of S-systems...
  4. ncbi GEM System: automatic prototyping of cell-wide metabolic pathway models from genomes
    Kazuharu Arakawa
    Institute for Advanced Biosciences, Keio University, Fujisawa 252 8520, Japan
    BMC Bioinformatics 7:168. 2006
    ..However, current modeling approaches to cell simulation are labor-intensive, manual affairs, and therefore constitute a major bottleneck in the evolution of computational cell biology...
  5. ncbi A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
    Katsuyuki Yugi
    Institute for Advanced Biosciences, Keio University, Tsuruoka, 997 0035, Japan
    BMC Bioinformatics 6:299. 2005
    ..However, conventional quantitative predictions have been limited to small networks because publicly available transcriptome data has not been extensively applied to dynamic simulation...
  6. ncbi [Developing computer models of cellular processes]
    Youichi Nakayama
    Tanpakushitsu Kakusan Koso 47:1956-61. 2002
  7. ncbi Dynamic simulation of red blood cell metabolism and its application to the analysis of a pathological condition
    Yoichi Nakayama
    Institute for Advanced Biosciences, Keio University, Tsuruoka, 997 0017, Japan
    Theor Biol Med Model 2:18. 2005
    ..This model was used here to reconstruct the pathology arising from hereditary glucose-6-phosphate dehydrogenase (G6PD) deficiency, which is the most common deficiency in human RBC...
  8. ncbi [Computer models of plant metabolism]
    Nobuyoshi Ishii
    Tanpakushitsu Kakusan Koso 48:2205-10. 2003