Abstract
Traditionally, bioinformatics has been organized around the concepts of genes and gene products, typically proteins. Proteins are represented as sequences of amino acids and are analyzed against each other by alignment and similarity of their amino acids. However proteins contain subsequences that define their activity and mode of regulation. These subsequences are referred to as "domains" and "motifs". For understanding many aspects of gene function, gene interaction, and gene and organism evolution, there is an advantage to focusing analysis on the domain/motif level rather than on the gene level. Such analysis is inherently highly computationally intensive because of the exponential growth of the protein databases and the combinatorial number of ways in which domains and motifs interact with each other. Here we report, by means of a biological example, on our efforts to build a user-friendly environment for facilitating such analysis. The name of this environment is the MotifNetwork.