• DocumentCode
    288814
  • Title

    Neural networks modelling of biochemical reactions

  • Author

    Solaiman, B. ; Picart, D.

  • Author_Institution
    Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
  • Volume
    5
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    3348
  • Abstract
    In this study, the use of neural networks (NN) in modelling biochemical reactions is shown. The metabolic chain describing the synthesis of puric bases is simulated. Results obtained are identical to those already known. The use of neural networks permits the development of more accurate models of enzymatic reactions. Thus, simulation tests concerning the use of new drugs can be performed rapidly and with good accuracy
  • Keywords
    neural nets; physiological models; proteins; biochemical reaction modelling; drugs; enzymatic reactions; metabolic chain; neural networks; puric bases; Biochemistry; Biological system modeling; Biology; Drugs; Inhibitors; Network synthesis; Neural networks; Performance evaluation; Production; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374773
  • Filename
    374773