@INPROCEEDINGS { Rsds3829,
author = {Tsumoto, Shusaku and Tanaka, Hiroshi}, 
title = {Discovery of Functional Components of Proteins Based on PRIMEROSE and Domain Knowledge Hierarchy}, 
booktitle = {Soft Computing}, 
conference = {International Workshop on Rough Sets and Soft Computing}, 
pages = {280-285}, 
publisher = {The Society for Computer Simulation}, 
address = {San Diego, U.S.A.}, 
month = {November}, 
year = 1994, 
editor = {Lin, Tsau Young and Wildberger, A.M.}, 
isbn = {1-56555-077-3}, 
abstract = {Protein structure analysis from DNA sequences is an important and fast area in both computer science and biochemistry. Although interesting approaches have been studied, it is very difficult to capture the characteristic of protein, since even a simple protein are made of more than 100 amino acids, which makes biochemical experiments very difficult to detect functional components. For this reason, almost all the problems about this field are left unsolved and it is very important to develop a system which assists researchers on molecular biology to remove the difficulties caused by combinatorial explosions. In this paper we report a system, called MOLA-MOLA (Molecular biological data-analyzer and Molecular biological knowledge from amino-acid sequences by controlling application of domain knowledge automatically. We apply this method to comparative analysis of lysozyme and "aplha"-lactalubumin. The results show that we get some interesting results from aminoacid sequences, which have not been reported before.}, 
keywords = {knowledge acquisition, computational biology, rough sets, domain knowledge hierarchy, }, 
}