Avian coccidiosis，caused by parasites of the genus Eimeria, is a major intestinal disease of chickens. In order to develop a new generation of vaccine which can provide a safer, more effective and cost-effective approach for avian coccidiosis control, bioinformatic and molecular approaches are used to predict and analyze the molecular characterization and B-cell epitopes of Eimeria antigens. In the present study, the molecular characterization and B-cell epitopes of the antigen pEtK2 of Eimeria tenella（E.tenella）were predicted by using of bioinformatics techniques. The pEtK2 gene was predicted to encode a polypeptide of 487 amino acids with a putative molecular mass of 55.102 kDa , and a predicted isoelectric point of 5.707. The acid sequence analysis showed that the potential antigenic epitopes are situated in 1-19,51-70,135-154,237-255,279-299 and 420-439 amino acids. The results obtained from the present study may provide necessary data for further study of E.tenella pEtK2 and development of recombinant vaccines and epitope vaccines.