Bioinformatics integrates the best of computing with the field of biosciences to produce
promising new algorithms and solutions for the advancement of drug development, analysis
of diseases as well as for the understanding of the very components that all living beings are
made up of. Genomics has been a highly focused area since the birth of bioinformatics and
since then much work has been on the study of DNA, leading to cloning and also stem cell
research. Another area of bioinformatics which has gathered much attention is proteomics
or the study of proteins. Proteins, formed from chains of amino acids, are the components
responsible for many bodily functions. Each protein has its own folding pattern and the final
structure defines the functions it is made for. The cavities or docking sites of a protein are
primarily responsible for interactions with other binding components. Research has been
intensively carried out to predict the structure of a protein from its amino acid chain base
as well as to classify the proteins according to their estimated functions. This research
focuses on the integration of the ideas of granular computing into protein classification,
targeting one of the most challenging areas in bioinformatics. Starting with the correct
identification of the docksites of a protein, the research will proceed to classify the proteins
through the analysis of these docksites. The final output will be analysed and compared to
ab initio studies of proteins for accuracy testing.
