Global Journal of Technology and Optimization

Anjali Wadhwani

Publications

• Research
  In Silico Identification of Novel Potential Vaccine Candidates in Streptococcus pneumoniae
  Author(s): Anjali Wadhwani and Varun KhannaAnjali Wadhwani and Varun Khanna
  
  Currently, 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. Virulence was predicted using MP3 and VirulentPred webservers. A systematic workflow designed for reverse vaccinology identified 83 (45 classically secreted and 38 non-classically secreted) potential virulence factors. However, many proteins were uncharacterized. Therefore, InterProScan was run for functional a.. Read More»
  DOI: 10.4172/2229-8711.S1109

  Abstract PDF