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Title

A rapid identification system for metallothionein proteins using expert system

 

Authors

Bhoopathi Praveen1*, Savariar Vincent3, Upadhyayula Suryanarayana Murty1, Amirapu Radha Krishna2 and Kaiser Jamil1

 

Affiliation

1Biology division, Indian Institute of Chemical Technology, Hyderabad-500 007, India, 2Copmuter division, Indian Institute of Chemical Technology, Hyderabad-500 007, India, 3Department of Zoology, Loyola College, Chennai - 600 034, India

 

E-mail*

bhoopathip@gmail.com; * Corresponding author

 

Article Type

 

Views & proposal

 

Date

 

received  April 15, 2005; revised April 16, 2005; accepted  April 17, 2005; published online April 21, 2005

 

Abstract

 

Metallothioneins (MT) are low molecular weight proteins mostly rich in cysteine residues with high metal content. Generally, MT proteins are responsible for regulating the intracellular supply of biologically essential metals ions and they protect cells from the deleterious effects of non-essential polarizable transition and post-transition metal ions. Due to their biological importance, proper characterization of MT is necessary. Here we describe a computer program (ID3 algorithm, a part of Artificial Intelligence) developed using available data for the rapid identification of MT. Tissue samples contains several low molecular weight proteins with different physical, chemical and biological characteristics. The described software solution proposes to categorize MT proteins without aromatic amino acids and high metal content. The proposed solution can be expanded to other types of proteins with specific known characteristics.

 

Keywords

 

metallothionein; rules; artificial intelligence; expert system, isolation, detection, tissue samples, purification

 

Citation

 

B. Praveen, S. Vincent, U.S. Murty, A.R. Krishna & K. Jamil:  Bioinformation, 1(1), 14-15 (2005)

 

Edited by

 

P. Kangueane

 

ISSN

 

0973-2063

 

Publisher

  Biomedical Informatics

License

 

 

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.