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Many techniques will also enhance the application of database systems, such as data warehousing, online analytical processing (OLAP), decision-support systems, and engineering and production applications.
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With the development of embedded systems, the application of databases in embedded systems [1] is a hotspot in both industry and academia.
Finally, we will conclude with the prospective application of databases to not only predict, retrospectively, the protein targets of a small molecule, but also how to design ligands with desired polypharmacology in a prospective manner.
Data warehousing is currently one of the most important applications of database technology and practice.
An article entitled "Fully automated structure elucidation – a spectroscopist's dream comes true" [15]) suggested an effective method of application of extensive database (ca. 500 000 items) containing large fragments supplied with their 13C NMR spectra.
Application of Ingenuity Pathway Analysis database suggests previously reported connections that may be involved in CNS HIV infection.
Application of TCM database lets it become possible to find out drug-like molecules [ 42– 42].
Scientific replication/external validation is an immediate and positive application of this database.
One important application of the database is testing of hypothesized prognostic markers of ovarian cancer using multiple independent studies.
Here, we selected the biosynthesis pathway of triacylglycerol (TAG) as an example to introduce the application of our database.
We provide code in the documentation of the curatedOvarianData package demonstrating how this comprehensive analysis, which was previously impractical to achieve, is a straightforward application of the database.
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