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TMCrys: predict propensity of success for transmembrane protein crystallization
MOTIVATION: Transmembrane proteins (TMPs) are crucial in the life of the cells. As they have special properties, their structure is hard to determine––the PDB database consists of 2% TMPs, despite the fact that they are predicted to make up to 25% of the human proteome. Crystallization prediction me...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137969/ https://www.ncbi.nlm.nih.gov/pubmed/29718100 http://dx.doi.org/10.1093/bioinformatics/bty342 |
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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: Transmembrane proteins (TMPs) are crucial in the life of the cells. As they have special properties, their structure is hard to determine––the PDB database consists of 2% TMPs, despite the fact that they are predicted to make up to 25% of the human proteome. Crystallization prediction methods were developed to aid the target selection for structure determination, however, there is a need for a TMP specific service. RESULTS: Here, we present TMCrys, a crystallization prediction method that surpasses existing prediction methods in performance thanks to its specialization for TMPs. We expect TMCrys to improve target selection of TMPs. AVAILABILITY AND IMPLEMENTATION: https://github.com/brgenzim/tmcrys SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6137969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61379692018-09-24 TMCrys: predict propensity of success for transmembrane protein crystallization Varga, Julia K Tusnády, Gábor E Bioinformatics Original Papers MOTIVATION: Transmembrane proteins (TMPs) are crucial in the life of the cells. As they have special properties, their structure is hard to determine––the PDB database consists of 2% TMPs, despite the fact that they are predicted to make up to 25% of the human proteome. Crystallization prediction methods were developed to aid the target selection for structure determination, however, there is a need for a TMP specific service. RESULTS: Here, we present TMCrys, a crystallization prediction method that surpasses existing prediction methods in performance thanks to its specialization for TMPs. We expect TMCrys to improve target selection of TMPs. AVAILABILITY AND IMPLEMENTATION: https://github.com/brgenzim/tmcrys SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-09-15 2018-04-26 /pmc/articles/PMC6137969/ /pubmed/29718100 http://dx.doi.org/10.1093/bioinformatics/bty342 Text en © The Author(s) 2018. 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 | Original Papers Varga, Julia K Tusnády, Gábor E TMCrys: predict propensity of success for transmembrane protein crystallization |
title | TMCrys: predict propensity of success for transmembrane protein crystallization |
title_full | TMCrys: predict propensity of success for transmembrane protein crystallization |
title_fullStr | TMCrys: predict propensity of success for transmembrane protein crystallization |
title_full_unstemmed | TMCrys: predict propensity of success for transmembrane protein crystallization |
title_short | TMCrys: predict propensity of success for transmembrane protein crystallization |
title_sort | tmcrys: predict propensity of success for transmembrane protein crystallization |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137969/ https://www.ncbi.nlm.nih.gov/pubmed/29718100 http://dx.doi.org/10.1093/bioinformatics/bty342 |
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