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The TMCrys server for supporting crystallization of transmembrane proteins
MOTIVATION: Due to their special properties, the structures of transmembrane proteins are extremely hard to determine. Several methods exist to predict the propensity of successful completion of the structure determination process. However, available predictors incorporate data of any kind of protei...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792070/ https://www.ncbi.nlm.nih.gov/pubmed/30793168 http://dx.doi.org/10.1093/bioinformatics/btz108 |
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author | Varga, Julia K Tusnády, Gábor E |
author_facet | Varga, Julia K Tusnády, Gábor E |
author_sort | Varga, Julia K |
collection | PubMed |
description | MOTIVATION: Due to their special properties, the structures of transmembrane proteins are extremely hard to determine. Several methods exist to predict the propensity of successful completion of the structure determination process. However, available predictors incorporate data of any kind of proteins, hence they can hardly differentiate between crystallizable and non-crystallizable membrane proteins. RESULTS: We implemented a web server to simplify running TMCrys prediction method that was developed specifically to separate crystallizable and non-crystallizable membrane proteins. AVAILABILITY AND IMPLEMENTATION: http://tmcrys.enzim.ttk.mta.hu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6792070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-67920702019-10-18 The TMCrys server for supporting crystallization of transmembrane proteins Varga, Julia K Tusnády, Gábor E Bioinformatics Applications Notes MOTIVATION: Due to their special properties, the structures of transmembrane proteins are extremely hard to determine. Several methods exist to predict the propensity of successful completion of the structure determination process. However, available predictors incorporate data of any kind of proteins, hence they can hardly differentiate between crystallizable and non-crystallizable membrane proteins. RESULTS: We implemented a web server to simplify running TMCrys prediction method that was developed specifically to separate crystallizable and non-crystallizable membrane proteins. AVAILABILITY AND IMPLEMENTATION: http://tmcrys.enzim.ttk.mta.hu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-10-15 2019-02-21 /pmc/articles/PMC6792070/ /pubmed/30793168 http://dx.doi.org/10.1093/bioinformatics/btz108 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Varga, Julia K Tusnády, Gábor E The TMCrys server for supporting crystallization of transmembrane proteins |
title | The TMCrys server for supporting crystallization of transmembrane proteins |
title_full | The TMCrys server for supporting crystallization of transmembrane proteins |
title_fullStr | The TMCrys server for supporting crystallization of transmembrane proteins |
title_full_unstemmed | The TMCrys server for supporting crystallization of transmembrane proteins |
title_short | The TMCrys server for supporting crystallization of transmembrane proteins |
title_sort | tmcrys server for supporting crystallization of transmembrane proteins |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6792070/ https://www.ncbi.nlm.nih.gov/pubmed/30793168 http://dx.doi.org/10.1093/bioinformatics/btz108 |
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