| Protein is one of the essential macromolecules in a living organism, and it plays an important role in the process of living action. The structure of the protein determines the function of the protein. In order to understand the biological process deeply, we must study the three-dimensional structure of the protein. Apoptosis proteins can be classified to anti-apoptosis and pro-apoptosis which have the opposite regulation effect on apoptosis. So the research of the advanced structure of the anti-apoptosis and pro-apoptosis proteins and the identification based on structural information can help us to understand the proteins function.In this paper, searches and analyzes the domain and motif information of data set A-P 461 which includes 239 anti-apoptosis proteins and 222 pro-apoptosis proteins. The data set is constructed based on the SwissProt database. It is found that some of the domain and motif in the anti-apoptosis and pro-apoptosis protein are particular, the other are common. The domain corresponding secondary structure and tertiary structure diagram are found in the PDB database and sequence motif is searched by MEME. The extracted information of the advanced structural characteristics can help us to understand the pathogenic mechanism of the apoptosis proteins.We also constructed an anti-apoptosis and pro-apoptosis dataset A-P 513, in which each protein has annotation information of the domain or motif in the SwissProt database. Based on protein sequence components information, protein sequence hydropaths component, proteins blocks information, n-terminal amino acid sequence components information, amino acid fragment single peptide information, Position-specific scoring matrix, domain and motif information, the anti-apoptosis and pro-apoptosis proteins are predicted by using SVM algorithm in Jackknife test. And the predicting results are analyzed and discussed by using the single characteristic parameters and fusion characteristic parameters, respectively. |
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