Database interactions are among the most essential functional features in web applications.
However, the highly dynamic nature of web applications makes it challenging to extract all the possible database interactions from source code.
Therefore, for the testing and maintenance of a web application, it is important that the web engineer could identify all the database interactions in the web application.
In this database, interactions are called high-throughput if they are found in experiments determining more than 100 interactions.
Data were processed either using Perl and the DBI module for database interactions working with the MySQL database or using C programs working on the flat files.
The latter will increase the efficiency and flexibility of its workforce by giving them an "office-in-a-pocket": that is, access to databases, interaction with peers and so on.
Although numerous efforts have been made to obtain uniformity in interaction databases, interaction datasets for yeast, animals and Arabidopsis are not readily available.
T2D@ZJU contains three levels of heterogeneous connections associated with T2D, which is retrieved from pathway databases, protein protein interaction databases and literature, respectively.
In contrast to these databases, interactions in MPIDB are further supported by 8150 additional evidences based on interaction conservation, co-purification and 3D domain contacts (iPfam, 3did).
