Mathematics Faculty Proceedings, Presentations, Speeches, Lectures

Title

Analysing Patterns of Tripeptides Using Statistical Approach and Neural Network Paradigm

Event Name/Location

Advances in Bioinformatics and Its Applications / Proceedings of the International Conference Nova Southeastern University, Fort Lauderdale, Florida, USA

Document Type

Conference Proceeding

Publication Date

12-16-2004

Keywords

Tripeptides, Codon, Classification, Neural Networks

Abstract

The goal of this research was the investigation of the relationships of the distances measured between the different amino acids in the protein of 7,964 tripeptides from the Protein Data Base (PDB). As a first step into this investigation, we developed a program capable of calculating the types of two triangles based on the twelve distances measured between the different amino acids in the protein. The second objective was to use an unsupervised neural network to cluster tripeptides based on the same input data. The selected for this purpose Self-Organizing Maps network was successful in categorizing the data in close approximation to the results achieved by the program.

Comments

Unit 4: Symmetry in Sequences

Conference Proceeding Title

Series in Mathematical Biology and Medicine: Volume 8 - Advances in Bioinformatics and Its Applications

ISBN

978-981-256-148-0 (hardcover) 978-981-4481-01-4 (ebook)

Publisher

World Scientific Publishing Co Pte Ltd

DOI

10.1142/9789812702098_0049

First Page

544

Last Page

553