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Proteome comparison is significant as it is used to determine whether there are any major differences between different strains at the protein level as proteins represent the actual functional molecules in the cell. It is mainly done to find the percent similarity and dissimilarity among the whole protein content encoded in completely sequenced genomes of hundreds of organisms, including humans and several other species of medical, commercial, industry, or research importance. The Mycobacterium tuberculosis Proteome Comparison Database (MTB-PCDB) is a repository where comparison between different strains of M. tuberculosis having complete sequenced genome is stored. The available strains of M. tuberculosis having complete proteome sequence are Mycobacterium tuberculosis H37Ra, Mycobacterium tuberculosis H37Rv, Mycobacterium tuberculosis CDC1551, Mycobacterium tuberculosis F11, Mycobacterium tuberculosis KZN1435. The comparison is based on user chosen strains.

MTB-PCDB helps in comparison of different strains of Mycobacterium tuberculosis mainly to find out the similarity and dissimilarity between them. Using this tool, pairwise comparison (among two strains) or multiple comparison (among multiple strains) can be done. It uses the BLAST algorithm for comparison among strains to get better results.

MTB-PCDB gives a detailed knowledge about the uniqueness and variations among the strains, as Stand-alone BLAST ( used to create own databases) has been used for comparison of each strain with that of other and the output shows the score for identity, similarity, gaps, bits, bit score, E-value and comparison alignment between the query and the subject sequences displaying the consensus sequences to identify the match, mismatch and gaps between two sequences.

The number of pairs of closely-related genomes has exploded in recent years, facilitating many comparative studies. Thus the resulting comparative database will be of great use as a reference for many research works on functional aspects, biochemical pathways, evolutionary aspects, and an invaluable source for correct annotation of previously sequenced and newly obtained genome sequences.                


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Since March, 2011
Bioinformatics Centre
Jamnalal Bajaj Tropical Disease Research Centre
Mahatma Gandhi Institute of Medical Sciences, Sevagram - 442 102