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Japanese
Development of theoretical methods for protein fold recognition and modeling based on statistical approaches. Analysis of the protein folding mechanisms by molecular dynamics simulation. Ligand binding prediction and structure based drug design.

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Research Interests
  • Development of a protein fold-recognition method and server
  • Application to the unknown proteins of the fold-recognition technique
  • Application to the unknown proteins of the fold-recognition technique
  • Protein folding analysis by Multicanonical Molecular Dynamics
    1:Energy landscape of a peptide cut from a distal beta-hairpin of src SH3 domain
    2:Energy landscape of a "Chameleon" sequence and its bilateral property
  • Analysis of a reentrant loop in membrane proteins for classification and prediction
  • Comparative Modeling of Class A Rhodopsin like GPCRs
  • Comparative ligand-binding analysis for molecular modeling of the binding of ligands to a receptor
    Research Results
    Papers
      
    Team's Web Site
      

    Team Member
    Team Leader : Takatsugu Hirokawa
    Team Leader : Takatsugu Hirokawa
    IMG:Website
    IMG:Mail
    IMG:Keywords  
    IMG:Reference  

    Name Keywords Reference

    Tomoshi Kameda
    AIST Research Staff

    IMG:Website
    IMG:Mail

    molecular dynamics, replica exchange method, protein folding, amyloid and aggregation

     

    Nobuyuki Uchikoga
    AIST Research Staff

    IMG:Mail

     

     
    Joint research
    Tsumura & Co.
    Mochida Pharmaceutical Co., Ltd.
    Taiho Pharmaceutical Co., Ltd.
    Technical Training
    Ajinomoto Co., Inc.
    Ryoka Systems Inc.
    Mizuho Information & Research Institute, Inc.
    Mitsui Knowledge Industry Co., Ltd.

     

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