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In Silico Identification of Novel Potential Vaccine Candidates in Streptococcus pneumoniae

March 11, 2016

Most reverse vaccinology studies aim to identify novel proteins with signature motifs commonly found in surface exposed proteins. In the current manuscript, our objective was to computationally identify conserved, antigenic, classically or non-classically secreted proteins in pathogenic strains of Streptococcus pneumoniae . The pathogenic strains used in our analysis were TIGR4, D39, CGSP14, 19A-6, JJA, 70585, AP200, 6706B and TCH8431. PSORTb 3.0.2 was used to infer subcellular locations while SecretomeP 2.0 server was run to predict non-classically secreted proteins.

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Keywords

Streptococcus pneumonia; Vaccines; Reverse vaccinology; Pneumonia; Non-classically secreted proteins; Novel virulence factors