No abstract

No abstract

No abstract

Aims:  Salmonella spp. has the capability to form biofilm on various surfaces. Biofilm‐associated protein (bapA), a large surface protein has been shown to play a leading role in the development of biofilm in Salmonella. Objective of this study was to investigate the presence of bapA gene in different serotypes of Salmonella spp. and to characterize DNA fragment encoding bapA protein of Salmonella Enteritidis. Methods and Results:  Sixty‐seven Salmonella strains belonging to 34 serovars isolated from diverse sources in India were screened for the presence of bapA gene employing a primer designed for the purpose. All the strains yielded a positive amplification indicating that the bapA gene is well conserved in Salmonella spp. The amplified gene fragment of bapA was cloned in Escherichia coli (DH5 α) cells by using pGEM‐T easy cloning vector. On partial sequence analysis, the product exhibited 667 base pairs, corresponding to 218 amino acids. Conclusions  BapA gene was found to be highly conserved in Salmonella. Partial sequence analysis of this gene from a strain of Salm. Enteritidis revealed close association with serotypes of poultry origin and also with some other animal/zoonotic serotypes. Significance and Impact of the Study:  BapA gene can be targeted for the genus‐specific detection of this organism from different sources. Antigenic index of bapA protein indicates its protective and diagnostic potentials.

No abstract

Vaccines are major contributors to the cost-effective interventions in major infectious diseases in the global public health space [...]

No abstract

Designing a vaccine against a pathogen has been the toughest challenge to fight against any infectious diseases. To overcome this problem, use of artificial neural network with immuno-informatics is emerging as a front runner solution. For a successful designing of a potent vaccine, prediction of T-cell/B-cell epitopes, antigen processing and presentation analysis, antigenic potential analysis of epitopes, usages of linkers, population coverage, codon optimization, allergenicity assessment, toxicity prediction of construct, and finally protein-peptide docking for stability of vaccine are important steps. To achieve this, several bioinformatics software, tools and online web servers have been developed for each application, which have their own advantages and limitations. Scientists must evaluate these parameters and should take the decision to apply more suitable and precise servers for each analysis and prediction based on their accuracy, suitability, and robustness.