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 :
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