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Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences
This manuscript describes a support vector machine based method for the prediction of constitutive as well as immunoproteasome cleavage sites in antigenic sequences. This method achieved Matthew's correlation coefficents of 0.54 and 0.43 on in vitro and major histocompatibility complex ligand d...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160263/ https://www.ncbi.nlm.nih.gov/pubmed/15988831 http://dx.doi.org/10.1093/nar/gki587 |
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author | Bhasin, Manoj Raghava, G. P. S. |
author_facet | Bhasin, Manoj Raghava, G. P. S. |
author_sort | Bhasin, Manoj |
collection | PubMed |
description | This manuscript describes a support vector machine based method for the prediction of constitutive as well as immunoproteasome cleavage sites in antigenic sequences. This method achieved Matthew's correlation coefficents of 0.54 and 0.43 on in vitro and major histocompatibility complex ligand data, respectively. This shows that the performance of our method is comparable to that of the NetChop method, which is currently considered to be the best method for proteasome cleavage site prediction. Based on the method, a web server, Pcleavage, has also been developed. This server accepts protein sequences in any standard format and present results in a user-friendly format. The server is available for free use by all academic users at the URL or . |
format | Text |
id | pubmed-1160263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-11602632005-06-29 Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences Bhasin, Manoj Raghava, G. P. S. Nucleic Acids Res Article This manuscript describes a support vector machine based method for the prediction of constitutive as well as immunoproteasome cleavage sites in antigenic sequences. This method achieved Matthew's correlation coefficents of 0.54 and 0.43 on in vitro and major histocompatibility complex ligand data, respectively. This shows that the performance of our method is comparable to that of the NetChop method, which is currently considered to be the best method for proteasome cleavage site prediction. Based on the method, a web server, Pcleavage, has also been developed. This server accepts protein sequences in any standard format and present results in a user-friendly format. The server is available for free use by all academic users at the URL or . Oxford University Press 2005-07-01 2005-06-27 /pmc/articles/PMC1160263/ /pubmed/15988831 http://dx.doi.org/10.1093/nar/gki587 Text en © The Author 2005. Published by Oxford University Press. All rights reserved |
spellingShingle | Article Bhasin, Manoj Raghava, G. P. S. Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title | Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title_full | Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title_fullStr | Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title_full_unstemmed | Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title_short | Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
title_sort | pcleavage: an svm based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1160263/ https://www.ncbi.nlm.nih.gov/pubmed/15988831 http://dx.doi.org/10.1093/nar/gki587 |
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