Cargando…
A Novel Method for N-terminal Acetylation Prediction
The NetAcet method has been developed to make predictions of N-terminal acetylation sites, but more information of the data set could be utilized to improve the performance of the model. By employing a new way to extract patterns from sequences and using a sample balancing mechanism, we obtained a c...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2004
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187419/ https://www.ncbi.nlm.nih.gov/pubmed/15901254 http://dx.doi.org/10.1016/S1672-0229(04)02032-7 |
_version_ | 1782486835158581248 |
---|---|
author | Liu, Ying Lin, Yuanlie |
author_facet | Liu, Ying Lin, Yuanlie |
author_sort | Liu, Ying |
collection | PubMed |
description | The NetAcet method has been developed to make predictions of N-terminal acetylation sites, but more information of the data set could be utilized to improve the performance of the model. By employing a new way to extract patterns from sequences and using a sample balancing mechanism, we obtained a correlation coefficient of 0.85, and a sensitivity of 93% on an independent mammalian data set. A web server utilizing this method has been constructed and is available at http://166.111.24.5/acetylation.html. |
format | Online Article Text |
id | pubmed-5187419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-51874192017-01-03 A Novel Method for N-terminal Acetylation Prediction Liu, Ying Lin, Yuanlie Genomics Proteomics Bioinformatics Brief Report The NetAcet method has been developed to make predictions of N-terminal acetylation sites, but more information of the data set could be utilized to improve the performance of the model. By employing a new way to extract patterns from sequences and using a sample balancing mechanism, we obtained a correlation coefficient of 0.85, and a sensitivity of 93% on an independent mammalian data set. A web server utilizing this method has been constructed and is available at http://166.111.24.5/acetylation.html. Elsevier 2004-11 2016-11-28 /pmc/articles/PMC5187419/ /pubmed/15901254 http://dx.doi.org/10.1016/S1672-0229(04)02032-7 Text en . http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Brief Report Liu, Ying Lin, Yuanlie A Novel Method for N-terminal Acetylation Prediction |
title | A Novel Method for N-terminal Acetylation Prediction |
title_full | A Novel Method for N-terminal Acetylation Prediction |
title_fullStr | A Novel Method for N-terminal Acetylation Prediction |
title_full_unstemmed | A Novel Method for N-terminal Acetylation Prediction |
title_short | A Novel Method for N-terminal Acetylation Prediction |
title_sort | novel method for n-terminal acetylation prediction |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187419/ https://www.ncbi.nlm.nih.gov/pubmed/15901254 http://dx.doi.org/10.1016/S1672-0229(04)02032-7 |
work_keys_str_mv | AT liuying anovelmethodfornterminalacetylationprediction AT linyuanlie anovelmethodfornterminalacetylationprediction AT liuying novelmethodfornterminalacetylationprediction AT linyuanlie novelmethodfornterminalacetylationprediction |