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Algorithm to find distant repeats in a single protein sequence

Distant repeats in protein sequence play an important role in various aspects of protein analysis. A keen analysis of the distant repeats would enable to establish a firm relation of the repeats with respect to their function and three-dimensional structure during the evolutionary process. Further,...

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Autores principales: Banerjee, Nirjhar, Sarani, Rangarajan, Ranjani, Chellamuthu Vasuki, Sowmiya, Govindaraj, Michael, Daliah, Balakrishnan, Narayanasamy, Sekar, Kanagaraj
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586129/
https://www.ncbi.nlm.nih.gov/pubmed/19052663
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author Banerjee, Nirjhar
Sarani, Rangarajan
Ranjani, Chellamuthu Vasuki
Sowmiya, Govindaraj
Michael, Daliah
Balakrishnan, Narayanasamy
Sekar, Kanagaraj
author_facet Banerjee, Nirjhar
Sarani, Rangarajan
Ranjani, Chellamuthu Vasuki
Sowmiya, Govindaraj
Michael, Daliah
Balakrishnan, Narayanasamy
Sekar, Kanagaraj
author_sort Banerjee, Nirjhar
collection PubMed
description Distant repeats in protein sequence play an important role in various aspects of protein analysis. A keen analysis of the distant repeats would enable to establish a firm relation of the repeats with respect to their function and three-dimensional structure during the evolutionary process. Further, it enlightens the diversity of duplication during the evolution. To this end, an algorithm has been developed to find all distant repeats in a protein sequence. The scores from Point Accepted Mutation (PAM) matrix has been deployed for the identification of amino acid substitutions while detecting the distant repeats. Due to the biological importance of distant repeats, the proposed algorithm will be of importance to structural biologists, molecular biologists, biochemists and researchers involved in phylogenetic and evolutionary studies.
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spelling pubmed-25861292008-12-03 Algorithm to find distant repeats in a single protein sequence Banerjee, Nirjhar Sarani, Rangarajan Ranjani, Chellamuthu Vasuki Sowmiya, Govindaraj Michael, Daliah Balakrishnan, Narayanasamy Sekar, Kanagaraj Bioinformation Prediction Model Distant repeats in protein sequence play an important role in various aspects of protein analysis. A keen analysis of the distant repeats would enable to establish a firm relation of the repeats with respect to their function and three-dimensional structure during the evolutionary process. Further, it enlightens the diversity of duplication during the evolution. To this end, an algorithm has been developed to find all distant repeats in a protein sequence. The scores from Point Accepted Mutation (PAM) matrix has been deployed for the identification of amino acid substitutions while detecting the distant repeats. Due to the biological importance of distant repeats, the proposed algorithm will be of importance to structural biologists, molecular biologists, biochemists and researchers involved in phylogenetic and evolutionary studies. Biomedical Informatics Publishing Group 2008-09-19 /pmc/articles/PMC2586129/ /pubmed/19052663 Text en © 2008 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 Prediction Model
Banerjee, Nirjhar
Sarani, Rangarajan
Ranjani, Chellamuthu Vasuki
Sowmiya, Govindaraj
Michael, Daliah
Balakrishnan, Narayanasamy
Sekar, Kanagaraj
Algorithm to find distant repeats in a single protein sequence
title Algorithm to find distant repeats in a single protein sequence
title_full Algorithm to find distant repeats in a single protein sequence
title_fullStr Algorithm to find distant repeats in a single protein sequence
title_full_unstemmed Algorithm to find distant repeats in a single protein sequence
title_short Algorithm to find distant repeats in a single protein sequence
title_sort algorithm to find distant repeats in a single protein sequence
topic Prediction Model
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2586129/
https://www.ncbi.nlm.nih.gov/pubmed/19052663
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