蛋白质亚细胞定位的识别.pdfVIP

Abstract Functional annotation of unknown proteins is a major goal in proteomics. Subcellular location of proteins is one of the key functional characters because proteins can perform nomal biological functions only after they are translocated to correct subcellular locations. This essay is based on N-terminal sorting signals information and the amino acid component, embarks from the amino acid sequence, has carried on the subcellular localization recognition to the plant and the non-plant two albuminoid substance data sets. First,the essay does the characteristic analysis to the different subcellular localization classification protein sequence dataset, including the amino acid frequency, adjacent residue-pair and N-terminal sorting signals .The result showed the single amino acid component shows some differences in the distribution in each subcellular localization classification protein sequence data, but not very remarkable; The 400 adjacent residue-pair frequencies have the difference in each subcellular localization classification protein sequence data centralism; The characteristic of the N terminal signals in each dataset of Plant or non-Plant has remarkable difference and characteristic difference of the N terminal signals mainly concentrates on 30 positions before the N terminal. Next,we use the method of Increment of Diversity (ID) to carry on the recognition:(1) take the N terminal signals characteristic as the characteristic of classifying and select the first 20 amino acid distribution of the N terminal to constitute 400 information parameter.(2) take the adjacent residue-pair frequencies as the c