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  • 1
    ISSN: 1432-072X
    Keywords: Key wordsEnterobacter agglomerans ; 1 ; 3-Propanediol dehydrogenase ; Protein purification ; Kinetic study ; pH ; Competitive inhibition ; Mixed-type ; inhibition
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Because of its key role in the metabolism of glycerol during fermentation, 1,3-propanediol dehydrogenase (EC 1.1.1.202) of Enterobacter agglomerans CNCM 1210 was purified to homogeneity and studied with respect to its sensitivity to pH and to nucleotide and 1,3-propanediol concentrations. Enzyme activity was optimal at pH 7.8. The enzyme was competitively inhibited by NAD+ (Ki of 0.29 mM), and 1,3-propanediol exerted a strong inhibitory effect according to a mixed-type inhibition with a Ki of 13.7 mM and an a-factor of 9.0. It is proposed that these dehydrogenase properties be extended to the dehydrogenases of Citrobacter freundii and Klebsiella pneumoniae, which exhibited numerous similar physical properties.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2019-07-13
    Description: Recent work on workspace monitoring allows conflict prediction early in the development process, however, these approaches mostly use syntactic differencing techniques to compare different program versions. In contrast, traditional change-impact analysis techniques analyze related versions of the program only after the code has been checked into the master repository. We propose a novel approach, DeCAF (Development Context Analysis Framework), that leverages the development context to scope a change impact analysis technique. The goal is to characterize the impact of each developer on other developers in the team. There are various client applications such as task prioritization, early conflict detection, and providing advice on testing that can benefit from such a characterization. The DeCAF framework leverages information from the development context to bound the iDiSE change impact analysis technique to analyze only the parts of the code base that are of interest. Bounding the analysis can enable DeCAF to efficiently compute the impact of changes using a combination of program dependence and symbolic execution based approaches.
    Keywords: Computer Operations and Hardware
    Type: NF1676L-17874 , International Conference on Software Engineering (ICSE); May 31, 2014 - Jun 07, 2014; Hyderabad; India
    Format: application/pdf
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