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OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection
We present the OrganelX e-Science Web Server that provides a user-friendly implementation of the In-Pero and In-Mito classifiers for sub-peroxisomal and sub-mitochondrial localization of peroxisomal and mitochondrial proteins and the Is-PTS1 algorithm for detecting and validating potential peroxisom...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747352/ https://www.ncbi.nlm.nih.gov/pubmed/36544474 http://dx.doi.org/10.1016/j.csbj.2022.11.058 |
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author | Anteghini, Marco Haja, Asmaa Martins dos Santos, Vitor A.P. Schomaker, Lambert Saccenti, Edoardo |
author_facet | Anteghini, Marco Haja, Asmaa Martins dos Santos, Vitor A.P. Schomaker, Lambert Saccenti, Edoardo |
author_sort | Anteghini, Marco |
collection | PubMed |
description | We present the OrganelX e-Science Web Server that provides a user-friendly implementation of the In-Pero and In-Mito classifiers for sub-peroxisomal and sub-mitochondrial localization of peroxisomal and mitochondrial proteins and the Is-PTS1 algorithm for detecting and validating potential peroxisomal proteins carrying a PTS1 signal sequence. The OrganelX e-Science Web Server is available at https://organelx.hpc.rug.nl/fasta/. |
format | Online Article Text |
id | pubmed-9747352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-97473522022-12-20 OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection Anteghini, Marco Haja, Asmaa Martins dos Santos, Vitor A.P. Schomaker, Lambert Saccenti, Edoardo Comput Struct Biotechnol J Research Article We present the OrganelX e-Science Web Server that provides a user-friendly implementation of the In-Pero and In-Mito classifiers for sub-peroxisomal and sub-mitochondrial localization of peroxisomal and mitochondrial proteins and the Is-PTS1 algorithm for detecting and validating potential peroxisomal proteins carrying a PTS1 signal sequence. The OrganelX e-Science Web Server is available at https://organelx.hpc.rug.nl/fasta/. Research Network of Computational and Structural Biotechnology 2022-12-05 /pmc/articles/PMC9747352/ /pubmed/36544474 http://dx.doi.org/10.1016/j.csbj.2022.11.058 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Anteghini, Marco Haja, Asmaa Martins dos Santos, Vitor A.P. Schomaker, Lambert Saccenti, Edoardo OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title | OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title_full | OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title_fullStr | OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title_full_unstemmed | OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title_short | OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
title_sort | organelx web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747352/ https://www.ncbi.nlm.nih.gov/pubmed/36544474 http://dx.doi.org/10.1016/j.csbj.2022.11.058 |
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