Title: Prediction and analysis for the vaccine candidates against Schistosoma japonicum based on the sequence data of schistosoma transcriptome and proteome
Abstract: Objective To predict Schistosoma japonicum vaccine candidate antigen molecules which possibly simulate the protective effect induced by radiation-attenuated vaccine against schistosome using data mining technology,and provide basis for further experimental validation of the predicted antigens.Methods Candidated sequences were selected by BLASTP searching normal Schistosoma japonicum schistosomula’s or adult worms’ transcriptome and proteome sequences being homologous with the sequences from characteristic transcriptome (Schistosoma mansoni) and proteome (Schistosoma japonicum) of schistosomula transformed from irradiated cercaria; then annotation and analysis of candidated sequences were carried out using online softwares,related databases and scientific documents. Results 131 sequences of Schistosoma japonicum were obtained,which were homologous or consistent with molecular sequences of schistosomula transformed from irradiated cercaria.The analysis of scientific documents indicated that,among the 131 predicated sequences,52 molecules could be designated as Schistosoma japonicum vaccine candidate antigens,which are of similar sequence features to that of some antigen molecules located in Schistosome tegument.Conclusion A set of Schistosoma japonicum vaccine candidate molecules were predicated using data mining technology,that laid a sound basis for the further experimental validation of the predicted molecules.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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