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General overview on structure prediction of twilight-zone proteins
Protein structure prediction from amino acid sequence has been one of the most challenging aspects in computational structural biology despite significant progress in recent years showed by critical assessment of protein structure prediction (CASP) experiments. When experimentally determined structu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559291/ https://www.ncbi.nlm.nih.gov/pubmed/26338054 http://dx.doi.org/10.1186/s12976-015-0014-1 |
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author | Khor, Bee Yin Tye, Gee Jun Lim, Theam Soon Choong, Yee Siew |
author_facet | Khor, Bee Yin Tye, Gee Jun Lim, Theam Soon Choong, Yee Siew |
author_sort | Khor, Bee Yin |
collection | PubMed |
description | Protein structure prediction from amino acid sequence has been one of the most challenging aspects in computational structural biology despite significant progress in recent years showed by critical assessment of protein structure prediction (CASP) experiments. When experimentally determined structures are unavailable, the predictive structures may serve as starting points to study a protein. If the target protein consists of homologous region, high-resolution (typically <1.5 Å) model can be built via comparative modelling. However, when confronted with low sequence similarity of the target protein (also known as twilight-zone protein, sequence identity with available templates is less than 30 %), the protein structure prediction has to be initiated from scratch. Traditionally, twilight-zone proteins can be predicted via threading or ab initio method. Based on the current trend, combination of different methods brings an improved success in the prediction of twilight-zone proteins. In this mini review, the methods, progresses and challenges for the prediction of twilight-zone proteins were discussed. |
format | Online Article Text |
id | pubmed-4559291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45592912015-09-04 General overview on structure prediction of twilight-zone proteins Khor, Bee Yin Tye, Gee Jun Lim, Theam Soon Choong, Yee Siew Theor Biol Med Model Review Protein structure prediction from amino acid sequence has been one of the most challenging aspects in computational structural biology despite significant progress in recent years showed by critical assessment of protein structure prediction (CASP) experiments. When experimentally determined structures are unavailable, the predictive structures may serve as starting points to study a protein. If the target protein consists of homologous region, high-resolution (typically <1.5 Å) model can be built via comparative modelling. However, when confronted with low sequence similarity of the target protein (also known as twilight-zone protein, sequence identity with available templates is less than 30 %), the protein structure prediction has to be initiated from scratch. Traditionally, twilight-zone proteins can be predicted via threading or ab initio method. Based on the current trend, combination of different methods brings an improved success in the prediction of twilight-zone proteins. In this mini review, the methods, progresses and challenges for the prediction of twilight-zone proteins were discussed. BioMed Central 2015-09-04 /pmc/articles/PMC4559291/ /pubmed/26338054 http://dx.doi.org/10.1186/s12976-015-0014-1 Text en © Khor et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Khor, Bee Yin Tye, Gee Jun Lim, Theam Soon Choong, Yee Siew General overview on structure prediction of twilight-zone proteins |
title | General overview on structure prediction of twilight-zone proteins |
title_full | General overview on structure prediction of twilight-zone proteins |
title_fullStr | General overview on structure prediction of twilight-zone proteins |
title_full_unstemmed | General overview on structure prediction of twilight-zone proteins |
title_short | General overview on structure prediction of twilight-zone proteins |
title_sort | general overview on structure prediction of twilight-zone proteins |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559291/ https://www.ncbi.nlm.nih.gov/pubmed/26338054 http://dx.doi.org/10.1186/s12976-015-0014-1 |
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