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Insights into the classification of small GTPases
In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, inclu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170009/ https://www.ncbi.nlm.nih.gov/pubmed/21918623 |
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author | Heider, Dominik Hauke, Sascha Pyka, Martin Kessler, Daniel |
author_facet | Heider, Dominik Hauke, Sascha Pyka, Martin Kessler, Daniel |
author_sort | Heider, Dominik |
collection | PubMed |
description | In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred) to identify potential novel GTPases and demonstrate its application to genome sequences. |
format | Online Article Text |
id | pubmed-3170009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31700092011-09-14 Insights into the classification of small GTPases Heider, Dominik Hauke, Sascha Pyka, Martin Kessler, Daniel Adv Appl Bioinforma Chem Original Research In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred) to identify potential novel GTPases and demonstrate its application to genome sequences. Dove Medical Press 2010-05-21 /pmc/articles/PMC3170009/ /pubmed/21918623 Text en © 2010 Heider et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Original Research Heider, Dominik Hauke, Sascha Pyka, Martin Kessler, Daniel Insights into the classification of small GTPases |
title | Insights into the classification of small GTPases |
title_full | Insights into the classification of small GTPases |
title_fullStr | Insights into the classification of small GTPases |
title_full_unstemmed | Insights into the classification of small GTPases |
title_short | Insights into the classification of small GTPases |
title_sort | insights into the classification of small gtpases |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170009/ https://www.ncbi.nlm.nih.gov/pubmed/21918623 |
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