DocumentCode
3317155
Title
Notice of Retraction
Proteasomes Cleavage Sites Prediction by Using Rough Set Theory
Author
Xinghuo Ye ; Juan Liu
Author_Institution
Sch. of Comput., Wuhan Univ., Wuhan, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Proteasomes in the immune response play vital roles. The antigen proteins are first degraded into peptides by some proteasomes; then some of the peptides will bind with specific MHC molecules and then be presented to T cells to activate the immune response. It is known that some artificial peptides cannot activate T cell response even though they can bind with MHC molecules. Therefore, whether the peptides are naturally generated by proteasome protein degradation process is very important to be the T cell epitopes. In this paper, we try to address the issue of predicting which peptides are naturally generated by predicting the proteasome cleavage sites, and present a rough set theory based prediction method. The experimental results show that our method has good performances in terms with the prediction accuracy and the understandable rules.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Proteasomes in the immune response play vital roles. The antigen proteins are first degraded into peptides by some proteasomes; then some of the peptides will bind with specific MHC molecules and then be presented to T cells to activate the immune response. It is known that some artificial peptides cannot activate T cell response even though they can bind with MHC molecules. Therefore, whether the peptides are naturally generated by proteasome protein degradation process is very important to be the T cell epitopes. In this paper, we try to address the issue of predicting which peptides are naturally generated by predicting the proteasome cleavage sites, and present a rough set theory based prediction method. The experimental results show that our method has good performances in terms with the prediction accuracy and the understandable rules.
Keywords
biology computing; proteins; rough set theory; T cell epitope; T cell response; antigen protein; artificial peptide; immune response; major histocompatibility complex molecule; proteasome protein degradation process; proteasomes cleavage sites prediction; rough set theory; Amino acids; Immune system; Peptides; Protein sequence; Set theory; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5779982
Filename
5779982
Link To Document