Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Praveen, Bhoopathi, Vincent, Savariar, Murty, Upadhyayula Suryanarayana, Krishna, Amirapu Radha, Jamil, Kaiser
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1891620/
https://www.ncbi.nlm.nih.gov/pubmed/17597844
_version_ 1782133761313341440
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
work_keys_str_mv AT praveenbhoopathi arapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT vincentsavariar arapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT murtyupadhyayulasuryanarayana arapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT krishnaamirapuradha arapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT jamilkaiser arapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT praveenbhoopathi rapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT vincentsavariar rapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT murtyupadhyayulasuryanarayana rapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT krishnaamirapuradha rapididentificationsystemformetallothioneinproteinsusingexpertsystem
AT jamilkaiser rapididentificationsystemformetallothioneinproteinsusingexpertsystem