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  • 1995-1999  (3)
  • Key words Artificial neural network  (1)
  • Key words. Hsp70; mouse heat shock factor (mHSF); zygotic gene activation; 2-D gel electrophoresis; transient expression; transgene; mouse embryo.  (1)
  • NMR, proton exchange  (1)
  • Pre-Molten globule  (1)
Material
Years
  • 1995-1999  (3)
Year
Keywords
  • 1
    ISSN: 1420-9071
    Keywords: Key words. Hsp70; mouse heat shock factor (mHSF); zygotic gene activation; 2-D gel electrophoresis; transient expression; transgene; mouse embryo.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Medicine
    Notes: Abstract. Heat shock genes are found in all organisms, and synthesis of heat shock proteins is induced by various stressors in nearly all the cells forming these organisms. However, a particular situation is noticed for hsp70 genes in mouse embryos at the beginning of their development. First, spontaneous expression of hsp70 is observed at the onset of zygotic genome activity. Second, inducible expression is delayed until morula or early blastocyst stages. A better understanding of both these points depends on a more careful analysis of hsp70 expression in relation to their major regulators, the heat shock factors. In this review, we will see how the development of the preimplanta tion embryo highlights the complexity of heat shock gene regulation involving trans-cis interactions and the cellular and nuclear environment.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    European journal of pediatrics 158 (1999), S. 59-62 
    ISSN: 1432-1076
    Keywords: Key words Artificial neural network ; Neural networks computer ; Length-of-stay ; Preterm neonate ; Prediction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract In neonatology, the early prediction of length-of-stay (LOS) may help in decision making. We retrospectively studied the accuracy of two LOS prediction models, namely a multiple linear regression model (MR) and an artificial neural network (ANN). Preterm neonates (n = 2144) were randomly assigned to a training-and-test (75%), or validation patient set (25%). A total of 40 first-day-of-life items (input data) and the date of discharge (output data) were routinely available. Training-and-test set data were used to identify input items with impact on LOS (input variables) using MR analysis to establish a MR prediction model and to train and test an ANN on those selected variables. Fed with validation set data, predicted LOS obtained from MR and ANN was compared individually with actual LOS. Predicted and actual LOS were highly correlated (for MR, r = 0.85 to 0.90; for ANN, r = 0.87 to 0.92). Conclusion Even first-day-of-life data may contain substantial information with which to predict individual length-of-stay.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 1573-4943
    Keywords: Pre-Molten globule ; folding intermediate ; NMR, proton exchange ; circular dichroism
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Abstract In vitro folding studies of several proteins revealed the formation, within 2–4 msec, of transient intermediates with a large far-UV ellipticity but no amide proton protection. To solve the contradiction between the secondary structure contents estimated by these two methods, we characterized the isolated C-terminal fragment F2 of the tryptophan synthase β2 subunit. In β2, F2 forms its tertiary interactions with the F1 N-terminal region. Hence, in the absence of F1, isolated F2 should remain at an early folding stage with no long-range interactions. We shall show that isolated F2 folds into, and remains in, a “state” called the pre-molten globule, that indeed corresponds to a 2- to 4-msec intermediate. This condensed, but not compact, “state” corresponds to an array of conformations in rapid equilibrium comprising native as well as nonnative secondary structures. It fits the “new view” on the folding process.
    Type of Medium: Electronic Resource
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