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A rapid identification system for metallothionein proteins using expert system
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 metal ions and they protect cells from the deleterious effects of non-essential p...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics Publishing Group
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891620/ https://www.ncbi.nlm.nih.gov/pubmed/17597844 |
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author | Praveen, Bhoopathi Vincent, Savariar Murty, Upadhyayula Suryanarayana Krishna, Amirapu Radha Jamil, Kaiser |
author_facet | Praveen, Bhoopathi Vincent, Savariar Murty, Upadhyayula Suryanarayana Krishna, Amirapu Radha Jamil, Kaiser |
author_sort | Praveen, Bhoopathi |
collection | PubMed |
description | 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 metal 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. |
format | Text |
id | pubmed-1891620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-18916202007-06-27 A rapid identification system for metallothionein proteins using expert system Praveen, Bhoopathi Vincent, Savariar Murty, Upadhyayula Suryanarayana Krishna, Amirapu Radha Jamil, Kaiser Bioinformation Views & Proposal 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 metal 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. Biomedical Informatics Publishing Group 2005-04-21 /pmc/articles/PMC1891620/ /pubmed/17597844 Text en © 2005 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Views & Proposal Praveen, Bhoopathi Vincent, Savariar Murty, Upadhyayula Suryanarayana Krishna, Amirapu Radha Jamil, Kaiser A rapid identification system for metallothionein proteins using expert system |
title | A rapid identification system for metallothionein proteins using expert system |
title_full | A rapid identification system for metallothionein proteins using expert system |
title_fullStr | A rapid identification system for metallothionein proteins using expert system |
title_full_unstemmed | A rapid identification system for metallothionein proteins using expert system |
title_short | A rapid identification system for metallothionein proteins using expert system |
title_sort | rapid identification system for metallothionein proteins using expert system |
topic | Views & Proposal |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891620/ https://www.ncbi.nlm.nih.gov/pubmed/17597844 |
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