TY - GEN
T1 - Predicting cytokines based on dipeptide and length feature
AU - He, Wei
AU - Jiang, Zhenran
AU - Li, Zhibin
PY - 2008
Y1 - 2008
N2 - Cytokines are crucial intercellular regulators that have important physiological roles in a wide range of disease processes. The identification of new cytokines by computational methods can provide valuable clues in functional studies of uncharacterized proteins without performing extensive experiments. In this study, we developed a new prediction method for the cytokine family based on dipeptide composition and length distribution by using support vector machine (SVM). The cross-validation results demonstrated that cytokines could be correctly identified with an accuracy of 97% at family classification and 90% at subfamily recognition correctly, respectively. In comparison with existing methods in the literature, the present method displayed great competitiveness on identifying cytokines correctly.
AB - Cytokines are crucial intercellular regulators that have important physiological roles in a wide range of disease processes. The identification of new cytokines by computational methods can provide valuable clues in functional studies of uncharacterized proteins without performing extensive experiments. In this study, we developed a new prediction method for the cytokine family based on dipeptide composition and length distribution by using support vector machine (SVM). The cross-validation results demonstrated that cytokines could be correctly identified with an accuracy of 97% at family classification and 90% at subfamily recognition correctly, respectively. In comparison with existing methods in the literature, the present method displayed great competitiveness on identifying cytokines correctly.
KW - Dipeptide composition
KW - Multi-class classification
KW - SVM
UR - https://www.scopus.com/pages/publications/56549129244
U2 - 10.1007/978-3-540-87442-3_12
DO - 10.1007/978-3-540-87442-3_12
M3 - 会议稿件
AN - SCOPUS:56549129244
SN - 3540874402
SN - 9783540874409
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 86
EP - 91
BT - Advanced Intelligent Computing Theories and Applications
T2 - 4th International Conference on Intelligent Computing, ICIC 2008
Y2 - 15 September 2008 through 18 September 2008
ER -