Bioinformatics System Secreted Proteins Of Mycobacterium Tuberculosis

In this thesis, signal peptide analyse software and trans-menbrane helix analyse software were integrated in the research of Mycobacterium tuberculosis (MTB )secreted proteins prediction. The thesis has two parts, one is the prediction the other is the confirmation. In the first part all proteins of MTB H37Rv were scaned in use of two bio-software ( Signal? and TMHMM) to analyse signal peptide and trans-menbrane helix, and discovered 182 proteins are possible secreted proteins. 12 of them were found MTB H37Rv unique proteins after analysed by BLASTp. In the second part many biology experiment methods were used to confirm the prediction, including primer design, PCR, Ta clone, DNA sequencing, sub-clone and induction expression. We wish to find some new secreted proteins of MTB H37Rv. These new secreted proteins may be useful in the discovery of protective antigen, immune taxonomy and new medicine targets.