• DocumentCode
    280340
  • Title

    Inductive protein structure analysis (IPSA)

  • Author

    Schulze-Kremer, Steffen

  • Author_Institution
    Brainware GmbH, Berlin, West Germany
  • fYear
    1990
  • fDate
    33147
  • Firstpage
    42705
  • Lastpage
    42711
  • Abstract
    The current state of protein structure analysis and prediction methods shows three important points. First, classical methods of secondary structure prediction cannot solve the protein folding problem; secondly, a combination of classical method returns better results for the prediction of secondary structures than any one of the methods on its own; and thirdly, methods that try to incorporate the effects of long-range interactions produce a better set of results than comparable methods not using this information. This is the starting point and motivation for a new method of computer-assisted protein structure analysis. The name `Inductive Protein Structure Analysis (IPSA)´ indicates the crux of the method, which is the automated search for patterns and structural regularities at different levels of the structure of proteins. The concept of `induction´ generally describes the process by which a rule is derived from a set of examples
  • Keywords
    biocybernetics; proteins; IPSA; automated search; computer-assisted protein structure analysis; induction; prediction methods; protein folding; protein structure analysis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Symbols Versus Neurons, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    190574