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ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites
Because of its wide range of substrates, caspase-3, a main executioner among apoptosis-related caspases, is thought to have many unknown substrates that have remained unidentified. This report describes our predictive method to facilitate the discovery of novel caspase-3 substrates. To develop a mor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley-VCH Verlag GmbH & Co
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4282780/ https://www.ncbi.nlm.nih.gov/pubmed/24995852 http://dx.doi.org/10.1002/pmic.201400002 |
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author | Fu, Szu-Chin Imai, Kenichiro Sawasaki, Tatsuya Tomii, Kentaro |
author_facet | Fu, Szu-Chin Imai, Kenichiro Sawasaki, Tatsuya Tomii, Kentaro |
author_sort | Fu, Szu-Chin |
collection | PubMed |
description | Because of its wide range of substrates, caspase-3, a main executioner among apoptosis-related caspases, is thought to have many unknown substrates that have remained unidentified. This report describes our predictive method to facilitate the discovery of novel caspase-3 substrates. To develop a more reliable prediction method, we specifically examined improvement of the data quantity and quality of caspase-3 cleavage sites. The ScreenCap3 method is based on machine learning and on information not only of experimentally verified positive examples but also of negative examples, which were not cleaved by caspase-3. Using information of experimentally verified noncleavage sites, we elucidate novel patterns of amino acids around “actual” cleavage sites. Results show that ScreenCap3 provides substantial improvement in terms of precision, compared with existing methods. Therefore, ScreenCap3 is anticipated for use with proteomic screening and identification of novel caspase-3 substrates and their cleavage sites. ScreenCap3 is available at http://scap.cbrc.jp/ScreenCap3/. |
format | Online Article Text |
id | pubmed-4282780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Wiley-VCH Verlag GmbH & Co |
record_format | MEDLINE/PubMed |
spelling | pubmed-42827802015-01-15 ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites Fu, Szu-Chin Imai, Kenichiro Sawasaki, Tatsuya Tomii, Kentaro Proteomics Bioinformatics Because of its wide range of substrates, caspase-3, a main executioner among apoptosis-related caspases, is thought to have many unknown substrates that have remained unidentified. This report describes our predictive method to facilitate the discovery of novel caspase-3 substrates. To develop a more reliable prediction method, we specifically examined improvement of the data quantity and quality of caspase-3 cleavage sites. The ScreenCap3 method is based on machine learning and on information not only of experimentally verified positive examples but also of negative examples, which were not cleaved by caspase-3. Using information of experimentally verified noncleavage sites, we elucidate novel patterns of amino acids around “actual” cleavage sites. Results show that ScreenCap3 provides substantial improvement in terms of precision, compared with existing methods. Therefore, ScreenCap3 is anticipated for use with proteomic screening and identification of novel caspase-3 substrates and their cleavage sites. ScreenCap3 is available at http://scap.cbrc.jp/ScreenCap3/. Wiley-VCH Verlag GmbH & Co 2014-09 2014-08-04 /pmc/articles/PMC4282780/ /pubmed/24995852 http://dx.doi.org/10.1002/pmic.201400002 Text en © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Bioinformatics Fu, Szu-Chin Imai, Kenichiro Sawasaki, Tatsuya Tomii, Kentaro ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title | ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title_full | ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title_fullStr | ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title_full_unstemmed | ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title_short | ScreenCap3: Improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
title_sort | screencap3: improving prediction of caspase-3 cleavage sites using experimentally verified noncleavage sites |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4282780/ https://www.ncbi.nlm.nih.gov/pubmed/24995852 http://dx.doi.org/10.1002/pmic.201400002 |
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