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Structure-based Methods for Computational Protein Functional Site Prediction

Due to the advent of high throughput sequencing techniques and structural genomic projects, the number of gene and protein sequences has been ever increasing. Computational methods to annotate these genes and proteins are even more indispensable. Proteins are important macromolecules and study of th...

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Detalles Bibliográficos
Autor principal: Dukka, B KC
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962076/
https://www.ncbi.nlm.nih.gov/pubmed/24688745
http://dx.doi.org/10.5936/csbj.201308005
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author Dukka, B KC
author_facet Dukka, B KC
author_sort Dukka, B KC
collection PubMed
description Due to the advent of high throughput sequencing techniques and structural genomic projects, the number of gene and protein sequences has been ever increasing. Computational methods to annotate these genes and proteins are even more indispensable. Proteins are important macromolecules and study of the function of proteins is an important problem in structural bioinformatics. This paper discusses a number of methods to predict protein functional site especially focusing on protein ligand binding site prediction. Initially, a short overview is presented on recent advances in methods for selection of homologous sequences. Furthermore, a few recent structural based approaches and sequence-and-structure based approaches for protein functional sites are discussed in details.
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spelling pubmed-39620762014-03-31 Structure-based Methods for Computational Protein Functional Site Prediction Dukka, B KC Comput Struct Biotechnol J Mini Reviews Due to the advent of high throughput sequencing techniques and structural genomic projects, the number of gene and protein sequences has been ever increasing. Computational methods to annotate these genes and proteins are even more indispensable. Proteins are important macromolecules and study of the function of proteins is an important problem in structural bioinformatics. This paper discusses a number of methods to predict protein functional site especially focusing on protein ligand binding site prediction. Initially, a short overview is presented on recent advances in methods for selection of homologous sequences. Furthermore, a few recent structural based approaches and sequence-and-structure based approaches for protein functional sites are discussed in details. Research Network of Computational and Structural Biotechnology (RNCSB) Organization 2013-11-11 /pmc/articles/PMC3962076/ /pubmed/24688745 http://dx.doi.org/10.5936/csbj.201308005 Text en © Dukka. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited.
spellingShingle Mini Reviews
Dukka, B KC
Structure-based Methods for Computational Protein Functional Site Prediction
title Structure-based Methods for Computational Protein Functional Site Prediction
title_full Structure-based Methods for Computational Protein Functional Site Prediction
title_fullStr Structure-based Methods for Computational Protein Functional Site Prediction
title_full_unstemmed Structure-based Methods for Computational Protein Functional Site Prediction
title_short Structure-based Methods for Computational Protein Functional Site Prediction
title_sort structure-based methods for computational protein functional site prediction
topic Mini Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962076/
https://www.ncbi.nlm.nih.gov/pubmed/24688745
http://dx.doi.org/10.5936/csbj.201308005
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