This paper studied the use of class association rules to classify protein-protein interaction type. Transactions are generated from the residues on the binding site of a protein complex. A transaction is in the form of a pair of residue sets. Transactions from transient protein complexes and from obligate protein complexes are stored separately. Two sets of patterns are mined from the sets of transactions. An unseen pair of proteins is classified be three score measures. The best classification performance achieves 80% accuracy. A biologist can submit a query protein, and get proteins that are likely to do certain interaction with his protein. With the patterns, indexing for screening potential proteins can be implemented efficiently.

A protein complex is either transient or obligate. In the organisms, proteins recognize each other with their binding sites and become transient protein complexes. Proteins perform their functions through protein-protein recognition. In this paper, we train a model by genetic programming with physicochemical properties information of the binding sites. The model classifies and screens the proteins of recognition interactions. The model achieves an average classification accuracy of 75%. For screening, given a protein with concave binding site and a database of proteins with convex binding site, from the database we retrieve a small set of proteins in which one of them recognizes with the query protein. In average, 65% of proteins in the database are screened out.

Agile manufacturing systems can benefit significantly from a database support. This paper describes AMDS, an agile manufacturing database system designed for capturing and manipulating the operational data of a manufacturing cell. AMDS is a continuous data-gathering real-time DBMS, and it can be logged either locally or remotely and used for off-line analysis as well. The temporal operational data obtained is used for performance and reliability analysis, high-level summary report generation, real-time monitoring and active interaction. This paper gives an overview of AMDS and its real-time features.

This paper describes SciMMDB, a scientific multimedia database system designed for polymer science experiment data applications. SciMMDB maintains multimedia data types of video, test and picture (as well as other standard data types), and allows users to: form multimedia presentation streams about experiments; define a presentation which organizes a number of presentation streams for playout purposes; and control the playout of a presentation. To form video, text or picture streams, a presentation stream construction language is described. Queries in this language express spatial and temporal relationships involving content objects and efficient evaluation of such queries are facilitated by indexing structures. SciMMDB uses IB+trees for queries involving temporal intervals. In SciMMDB, presentation streams are formed into a presentation using the notion of presentation graphs. During the playout of a presentation, each presentation stream in the presentation is played out by a separate transaction, called an output agent. Such transactions communicate and synchronize with each other using the cooperative transaction model.