Mathematics Faculty Proceedings, Presentations, Speeches, Lectures

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

Presentation Date

12-16-2004

Document Type

Conference Proceeding

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)

Keywords

Tripeptides, Codon, Classification, Neural Networks

Description

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.

DOI

10.1142/9789812702098_0049

Publisher

World Scientific Publishing Co Pte Ltd

First Page

544

Last Page

553

Comments

Unit 4: Symmetry in Sequences

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