REDUCED BIO-BASIS FUNCTION NEURAL NETWORKS FOR PROTEASE CLEAVAGE SITE PREDICTION

Author:

YANG ZHENG RONG1,BERRY EMILY A.1

Affiliation:

1. Department of Computer Science, Exeter University, Exeter EX4 4QF, UK

Abstract

This paper presents a new neural learning algorithm for protease cleavage site prediction. The basic idea is to replace the radial basis function used in radial basis function neural networks by a so-called bio-basis function using amino acid similarity matrices. Mutual information is used to select bio-bases and a corresponding selection algorithm is developed. The algorithm has been applied to the prediction of HIV and Hepatitis C virus protease cleavage sites in proteins with success.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Molecular Biology,Biochemistry

Reference75 articles.

1. T. Alber, Mobility and Function in Proteins and Nucleic Acids, Ciba Foundation Symposium 93, ed. F. M. Richards (1982) pp. 4–24.

2. An inhibitor of the protease blocks maturation of human and simian immunodeficiency viruses and spread of infection.

3. Predicting the conformation of proteins from sequences. Progress and future progress

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