DocumentCode
3703449
Title
Identification of cancer-specific motifs in mimotope profiles of serum antibody repertoire
Author
Ekaterina Nenastyeva;Alex Zelikovsky;Yurij Ionov;Ion Mandoiu
Author_Institution
Department of Computer Science, Georgia State University, Atlanta, 30303, United States
fYear
2015
Firstpage
1
Lastpage
1
Abstract
For fighting cancer earlier detection is crucial. The whole proteome can be represented by a random peptide phage display library (RPPDL). This allows to develop an early cancer detection test comparing cancer patients´ and healthy donors´ global peptide profiles of antibody specificities. To decrease the complexity of profiles we developed a method for transforming a list of peptides constituting the mimotope profiles to the list motifs formed by similar peptide sequences. As a result, multiple cancer-specific motifs have been identified.
Keywords
"Peptides","Cancer","Electronic mail","Computer science","Libraries","Sequential analysis","Entropy"
Publisher
ieee
Conference_Titel
Computational Advances in Bio and Medical Sciences (ICCABS), 2015 IEEE 5th International Conference on
Type
conf
DOI
10.1109/ICCABS.2015.7344724
Filename
7344724
Link To Document