New techniques for extracting features from protein sequences

Document Type

Article

Publication Date

1-1-2001

Abstract

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 Information Resource) database maintained at the National Biomedical Research Foundation. To evaluate the performance of the proposed approach, we compare it with other protein classifiers built based on sequence alignment and machine learning methods. Experimental results show the high precision of the proposed classifier and the complementarity of the bioinformatics tools studied in the paper.

Identifier

0034963886 (Scopus)

Publication Title

IBM Systems Journal

External Full Text Location

https://doi.org/10.1147/sj.402.0426

ISSN

00188670

First Page

426

Last Page

441

Issue

2

Volume

40

This document is currently not available here.

Share

COinS