Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation

Protein structure analysis from DNA sequences is an important and fast growing area in both computeT science and biochemistry. Although interesting approaches have been studied, it is very dificult to capture the characteristics of protein, since even a simple protein are made of more than 100 amino acids, which makes biochemical experiments very dificult to detect functional components. For this reason, almost all the problems in this field are left unsolved and it is very important to develop a system which assists researchers on molecular biology to remove the dificulties caused by combinatorial explosions. In this paper we report a system, called MWI (Molecular biologists’ Workbench version l.O), which extracts knowledge from amino-acid sequences by controlling application of domain knowledge automatically. We apply this method to comparative analysis of lysozyme and LXlactalbumin. The results show that we obtain several interesting results from amino-acid sequences, which have not been reported before.