| Title |
Identification of Potential Vaccine Candidates Against Streptococcus pneumoniae by Reverse Vaccinology Approach
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, January 2014
|
| DOI | 10.1007/s12010-014-0749-x |
| Pubmed ID | |
| Authors |
Sandipan Talukdar, Shubhranshu Zutshi, K. S. Prashanth, Kandarpa K. Saikia, Parveen Kumar |
| Abstract |
In the past few decades, genome-based approaches have contributed significantly to vaccine development. Our aim was to identify the most conserved and immunogenic antigens of Streptococcus pneumoniae, which can be potential vaccine candidates in the future. BLASTn was done to identify the most conserved antigens. PSORTb 3.0.2 was run to predict the subcellular localization of the proteins. B cell epitope prediction was done for the immunogenicity testing. Finally, BLASTp was done for verifying the extent of similarity to human proteome to exclude the possibility of autoimmunity. Proteins failing to comply with the set parameters were filtered at each step. Based on the above criteria, out of the initial 22 pneumococcal proteins selected for screening, pavB and pullulanase were the most promising candidate proteins. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Switzerland | 1 | 2% |
| Taiwan | 1 | 2% |
| Unknown | 56 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 9 | 15% |
| Student > Bachelor | 6 | 10% |
| Other | 5 | 8% |
| Researcher | 5 | 8% |
| Other | 5 | 8% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 19% |
| Immunology and Microbiology | 9 | 15% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Medicine and Dentistry | 7 | 12% |
| Computer Science | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 21 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2014.
All research outputs
#17,710,421
of 22,741,406 outputs
Outputs from Applied Biochemistry and Biotechnology
#1,706
of 2,496 outputs
Outputs of similar age
#220,766
of 306,968 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#19
of 34 outputs
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