Characterization as well as prediction of the secondary and tertiary structure of hypothetical proteins from their amino acid sequences uploaded in databases by in silico approach are the critical issues in computational biology. Severe acute respiratory syndrome–associated coronavirus (SARS-CoV), which is responsible for pneumonia alike diseases, possesses a wide range of proteins of which many are still uncharacterized. The current study was conducted to reveal the physicochemical characteristics and structures of an uncharacterized protein Q6S8D9_SARS of SARS-CoV. Following the common flowchart of characterizing a hypothetical protein, several sophisticated computerized tools e.g., ExPASy Protparam, CD Search, SOPMA, PSIPRED, HHpred, etc. were employed to discover the functions and structures of Q6S8D9_SARS. After delineating the secondary and tertiary structures of the protein, some quality evaluating tools e.g., PROCHECK, ProSA-web etc. were performed to assess the structures and later the active site was identified also by CASTp v.3.0. The protein contains more negatively charged residues than positively charged residues and a high aliphatic index value which make the protein more stable. The 2D and 3D structures modeled by several bioinformatics tools ensured that the proteins had domain in it which indicated it was functional protein having the ability to trouble host antiviral inflammatory cytokine and interferon production pathways. Moreover, active site was found in the protein where ligand could bind. The study was aimed to unveil the features and structures of an uncharacterized protein of SARS-CoV which can be a therapeutic target for development of vaccines against the virus. Further research are needed to accomplish the task.

Objective To reveal the presence of methicillin resistant Staphylococcus aureus (S. aureus) (MRSA) in poultry samples and to determine the antibiogram pattern against five antibiotics. Methods Samples from different poultry farm of Chittagong city, Bangladesh were examined for S. aureus by different biochemical tests and confirmed as MRSA by identifying the presence of mecA gene using PCR. Antibiotic resistance pattern in S. aureus was determined by antibiotic disk diffusion method. Results In this study, a total of 60 samples (30 from nasal swabs and 30 from cloacal swabs) were used, of which 54 were confirmed as S. aureus by different biochemical tests. Among these, 12 were confirmed as MRSA by detecting mecA gene using PCR. During antibiogram study, both nasal and cloacal samples showed the highest resistance against penicillin-G and the lowest resistance was observed against neomycin. Conclusions Based on the present study, it can be said that different antibiotics are used extensively in poultry that leads to MRSA and is alarming for human health.