Protein Data Bank (PDB) is a freely accessible archive of the 3-D structural data of biological molecules. Structure based studies offers a unique vantage point in inferring the properties of a protein molecule from structural data. This is too big a task to be done manually. Moreover, there is no single tool, software or server that comprehensively analyses all structure-based properties. The objective of the present work is to develop an offline computational toolkit, PDB@ containing in-built algorithms that help categorizing the structural properties of a protein molecule. The user has the facility to view and edit the PDB file to his need. Some features of the present work are unique in itself and others are an improvement over existing tools. Also, the representation of protein properties in both graphical and textual formats helps in predicting all the necessary details of a protein molecule on a single platform.

The functionality of a gene or a protein depends on codon repeats occurring in it. As a consequence of their vitality in protein function and apparent involvement in causing diseases, an interest in these repeats has developed in recent years. The analysis of genomic and proteomic sequences to identify such repeats requires some algorithmic support from informatics level. Here, we proposed an offline stand-alone toolkit Repeat Searcher and Motif Detector (RSMD), which uncovers and employs few novel approaches in identification of sequence repeats and motifs to understand their functionality in sequence level and their disease causing tendency. The tool offers various features such as identifying motifs, repeats and identification of disease causing repeats. RSMD was designed to provide an easily understandable graphical user interface (GUI), for the tool will be predominantly accessed by biologists and various researchers in all platforms of life science. GUI was developed using the scripting language Perl and its graphical module PerlTK. RSMD covers algorithmic foundations of computational biology by combining theory with practice.