DocumentCode
1784833
Title
VISWES: A system for finding related vaccinia virus protein sequences in cancer immune therapy
Author
SeungHeui Ryu ; NaHyun Kwak ; DoHoon Lee
Author_Institution
Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Pusan, South Korea
fYear
2014
fDate
2-5 Nov. 2014
Firstpage
285
Lastpage
288
Abstract
The use of vaccinia virus, an oncolytic virus, in cancer immune therapy enhances the overall immune response. The mechanism of immune response against cancer and virus infection is similar. We found sequence relationships between vaccinia virus proteins and human proteins that are often regarded as hallmarks of cancer. From comparing human and vaccinia virus protein sequences, genetically engineered viruses associated with immune response have been used for cancer immune therapy in many clinical trials. Using published papers about cancer immunology, we classified proteins as either positively or negatively associated with cancer immune therapy. We searched for sequence relationships between human proteins and vaccinia virus proteins that are related to the classified proteins.
Keywords
associative processing; biochemistry; bioinformatics; cancer; classification; data mining; genetic engineering; macromolecules; medical computing; microorganisms; molecular biophysics; molecular configurations; patient treatment; pattern matching; proteins; sequences; VISWES; cancer hallmark; cancer immune therapy; cancer immunology; cancer response mechanism; clinical trial; human protein; immune response enhancement; immune response mechanism; negative association; oncolytic virus; positive association; protein classification; protein sequence comparison; protein sequence relationship; related vaccinia virus protein sequence search; virus genetic engineering; virus infection response mechanism; Cancer; Immune system; Medical treatment; Proteins; Tumors; Viruses (medical); Visualization; cancer therapy; immune response; oncolytic virus; protein; sequence analyse;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on
Conference_Location
Belfast
Type
conf
DOI
10.1109/BIBM.2014.6999169
Filename
6999169
Link To Document