New techniques for extracting features from protein sequences

J. T. L. Wang, Q. Ma, D. Shasha, C. H. Wu
2001 IBM Systems Journal  
In this paper we propose new techniques to extract features from protein sequences. We then use the features as inputs for a Bayesian neural network (BNN) and apply the BNN to classifying protein sequences obtained from the PIR protein database maintained at the National Biomedical Research Foundation. To e v aluate the performance of the proposed approach, we compare it with other protein classiers built based on sequence alignment and machine learning methods. Experimental results show the
more » ... h precision of the proposed classi er and the complementarity o f the bioinformatics tools studied in the paper.
doi:10.1147/sj.402.0426 fatcat:xv2veybu7jc6feudndhbttbeza