Title

A rapid identification system for metallothionein proteins using expert system

Authors

Bhoopathi Praveen^1*, 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

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

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.