Avian coccidiosis is an intestinal disease of chickens caused by several species of protozoan parasites within the genus Eimeria. The total cost of this disease has been estimated to be at least $ 3 billions per year to the worldwide poultry industry. 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 structures and functions of Eimeria antigens. In the present study, the information about structures and functions of the antigen SO7 of Eimeria tenella（E.tenella） MY strain was predicted using bioinformatics softwares and tools. The SO7 gene was predicted to encode a polypeptide of 216 amino acids with a putative molecular mass of 22.369 kDa , no transmembrane domain in the polypeptide and a predicted isoelectric point of 6.86. The acid sequence analysis showed that the potential antigenic epitopes are situated in 25-33, 84-91, 101-107,148-152, 157-162,193-200, and 206-212 amino acids. The results obtained from the present study may provide necessary data for further study of E.tenella SO7 and development of recombinant vaccines and epitope vaccines.