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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology (RNCSB) Organization
2013
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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. |
format | Online Article Text |
id | pubmed-3962076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Research Network of Computational and Structural Biotechnology (RNCSB) Organization |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dukkabkc structurebasedmethodsforcomputationalproteinfunctionalsiteprediction |