DNA metabolism and repair is vital for the maintenance of genome integrity. Specific proteinaceous inhibitors of key factors in this process have high potential for deciphering pathways of DNA metabolism and repair. The dUTP ase enzyme family is responsible for guarding against erroneous uracil incorporation into DNA . Here, we investigate whether the staphylococcal Stl repressor may interact with not only bacterial but also eukaryotic dUTP ase. We provide experimental evidence for the formation of a strong complex between Stl and Drosophila melanogaster dUTP ase. We also find that dUTP ase activity is strongly diminished in this complex. Our results suggest that the dUTP ase protein sequences involved in binding to Stl are at least partially conserved through evolution from bacteria to eukaryotes.

The data modeling process is challenging and involves hypotheses and trials. In the industry, a workflow has been constructed around data modeling. The offered modernized workflow expects to use of the cloud’s full abilities as cloud-native services. For a flourishing big data project, the organization should have analytics and information-technological know-how. MLOps approach concentrates on the modeling, eliminating the personnel and technology gap in the deployment. In this article, the paradigm will be verified with a case-study in the context of composing a data pipeline in the cloud-native ecosystem. Based on the analysis, the considered strategy is the recommended way for data pipeline design.

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