India
Research Article
Functional Annotation and Epitope Prediction of Hypothetical Proteins of Mycobacterium tuberculosis H37Rv: An Immunoinformatics Approach
Author(s): Badapanda C, Sahoo GC, Middha A, Majhi MC and Nayak RBadapanda C, Sahoo GC, Middha A, Majhi MC and Nayak R
High-throughput genome sequencing technologies are revolutionizing bacterial genomics, resulting in the accumulation of 'unknown' or 'hypothetical' or ‘conserved hypothetical’ genes. However, approximately 40-50% of genes within a genome are often labeled as ‘hypothetical’ or ‘conserved hypothetical’ or 'unknown' whose function has not yet been established, inviting the functional annotation of these 'unknown genes'. Mycobacterium tuberculosis H37Rv has 3,924 protein coding genes, of which 606 proteins are classified as ‘unknown proteins’. We here predict reliable functional annotation by integrating several bioinformatics annotation tools, sequential BLAST homology searches, InterProScan searches, Gene Ontology (GO) mapping, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and established the putative function of 522.. Read More»
DOI:
10.4172/2155-9538.1000196
Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report