Mycobacterium tuberculosis (Mtb), the pathogen causing tuberculosis, continues 
to elude a cure. Latent Mtb forms are present in human population for extended 
periods and have the potential to be re-activated into an active form. The 
prophylactic vaccine, live-attenuated Mycobacterium bovis 
Bacillus-Calmette-Guerin (BCG) vaccine is not effective in preventing latent 
infection. The failure of BCG in prevention/protection against latent forms of 
Mtb calls for efforts to curb latent Mtb infection. The inclusion of 
latency/dormancy antigens in the classical antigen preparation is surmised as a 
strategy. DosR (Dormancy Survival Regulator, Rv3133c) regulon genes are 
expressed under the conditions of latency/dormancy. Previous bioinformatics 
analyses have pointed towards their role as probable vaccine candidates. Since 
nearly 60% of DosR regulon genes are unannotated, efforts towards elucidating 
their functional role will prove valuable. The study presented here provides an 
in-depth in silico 3D-structure prediction and functional analyses of the first 
member of the DosR regulon group, the hypothetical protein, Rv0079. A 
combination of approaches such as: homology modeling and threading using 
SWISS-MODEL workspace, Phyre and BioInfo bank Metaserver; protein localization 
predictions using PSORTb, LOCtree, TMHMM and TMpred; function prediction using 
ProFunc, epitope prediction using NetCTL and others was implemented. Evidence 
gathered from a combination of bioinformatics tools supports the hypothesis that 
Mtb Rv0079 protein is a likely cytoplasmic translation factor. Experimental 
validation will help provide more insight into its actual function.