Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach

Ajao Abdullahi Taiwo; Ajao Jumoke Falilat; Yakubu Sabo Ezemuel

doi:doi:10.11648/j.cbb.20140201.13

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Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach

Ajao Abdullahi Taiwo, Ajao Jumoke Falilat, Yakubu Sabo Ezemuel

Published in Computational Biology and Bioinformatics (Volume 2, Issue 1)

Received: 12 January 2014 Published: 10 March 2014

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Abstract

The bacterial species Acinetobacter baumannii is a major cause of hospital acquired infection throughout the world and it is increasing public health concern. Infection caused by multidrug resistant A. baumannii is currently among the most difficult to treat due to propensity to acquire mobile genetic element. To date there is no vaccine or specific drug available for its treatment, this necessitate the need for the identification of therapeutic target enzyme and vaccine. Pharmacogenomic and computational biology represent an attractive alternative approach for the identification of common drug target and peptide-vaccine candidates in the pathogen. Vaccine designing is shifted from entire pathogen or whole antigen to peptide or epitope based-vaccines that are specific, safe and easy to produce. Comparative genomic approach was used to identify conserved protein signatures among five genomes. Three outer membrane proteins conserved among the genomes with high vaxijen scores were used to produce both B-cell and T-cell mediated immunity. Propred and propred1 were used to predict promiscuos helper T-Lymphocytes (HTL), Cytotoxic T-Lymphocyte (CTL) epitopes and MHCPred for their binding affinity.Three T-cell epitopes derived from identified B-cells bind to maximum number of MHC class I and class II alleles and specifically bind to HLA alleles such as DRB1*0101 and DRB1*0401.The epitopes are YEKLAAGPS, FYTSQPEDS and YVTGNPLGL with high potential to induce humoral and cell mediated immune responses. These predicted epitopes (small peptide) might be promising candidates for vaccine design against A. baumannii infection, though experimental validation.

Published in	Computational Biology and Bioinformatics (Volume 2, Issue 1)
DOI	10.11648/j.cbb.20140201.13
Page(s)	13-18
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Peptide Vaccine, Pharmacogenomic, Cell Mediate Immunity, Drug Resistance, Epitopes

References

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[13]	EL-Manzalawy, Y., Dobbs, D. and Honavar, V. (2008). Predicting linear B-cell epitopes using string kernels. J. Mol Recognit. 21:243-255. DOI: 10.1002/jmr.893.
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[21]	Arockiasamy, A. and Krishnaswamy, S. (1995). Prediction of B-cell epitopes for Salmonella typhi OmpC. J Biosci., 20:235-243. Arevalo-Herrea, M., Valencia, A.Z., Vergara, J., Bonelo, A., Fleischhauer, K., et al.,(2002)Identification of HLA-A2 restricted CD8 (+) T-lymphocyte responses to Plasmodium vivax circum sporozoite protein in individuals naturally exposed to malaria. Parasite immunol.,24:161-169. DOI:10.1046/j.1365-3024.2002.00449.x.
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APA Style

Ajao Abdullahi Taiwo, Ajao Jumoke Falilat, Yakubu Sabo Ezemuel. (2014). Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Computational Biology and Bioinformatics, 2(1), 13-18. https://doi.org/10.11648/j.cbb.20140201.13

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ACS Style

Ajao Abdullahi Taiwo; Ajao Jumoke Falilat; Yakubu Sabo Ezemuel. Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Comput. Biol. Bioinform. 2014, 2(1), 13-18. doi: 10.11648/j.cbb.20140201.13

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AMA Style

Ajao Abdullahi Taiwo, Ajao Jumoke Falilat, Yakubu Sabo Ezemuel. Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Comput Biol Bioinform. 2014;2(1):13-18. doi: 10.11648/j.cbb.20140201.13

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@article{10.11648/j.cbb.20140201.13,
  author = {Ajao Abdullahi Taiwo and Ajao Jumoke Falilat and Yakubu Sabo Ezemuel},
  title = {Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach},
  journal = {Computational Biology and Bioinformatics},
  volume = {2},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.cbb.20140201.13},
  url = {https://doi.org/10.11648/j.cbb.20140201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20140201.13},
  abstract = {The bacterial species Acinetobacter baumannii is a major cause of hospital acquired infection throughout the world and it is increasing public health concern. Infection caused by multidrug resistant A. baumannii is currently among the most difficult to treat due to propensity to acquire mobile genetic element. To date there is no vaccine or specific drug available for its treatment, this necessitate the need for the identification of therapeutic target enzyme and vaccine. Pharmacogenomic and computational biology represent an attractive alternative approach for the identification of common drug target and peptide-vaccine candidates in the pathogen. Vaccine designing is shifted from entire pathogen or whole antigen to peptide or epitope based-vaccines that are specific, safe and easy to produce. Comparative genomic approach was used to identify conserved protein signatures among five genomes. Three outer membrane proteins conserved among the genomes with high vaxijen scores were used to produce both B-cell and T-cell mediated immunity. Propred and propred1 were used to predict promiscuos helper T-Lymphocytes (HTL), Cytotoxic T-Lymphocyte (CTL) epitopes and MHCPred for their binding affinity.Three T-cell epitopes derived from identified B-cells bind to maximum number of MHC class I and class II alleles and specifically bind to HLA alleles such as DRB1*0101 and DRB1*0401.The epitopes are YEKLAAGPS, FYTSQPEDS and YVTGNPLGL with high potential to induce humoral and cell mediated immune responses. These predicted epitopes (small peptide) might be promising candidates for vaccine design against A. baumannii infection, though experimental validation.},
 year = {2014}
}

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TY  - JOUR
T1  - Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach
AU  - Ajao Abdullahi Taiwo
AU  - Ajao Jumoke Falilat
AU  - Yakubu Sabo Ezemuel
Y1  - 2014/03/10
PY  - 2014
N1  - https://doi.org/10.11648/j.cbb.20140201.13
DO  - 10.11648/j.cbb.20140201.13
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2330-8281
UR  - https://doi.org/10.11648/j.cbb.20140201.13
AB  - The bacterial species Acinetobacter baumannii is a major cause of hospital acquired infection throughout the world and it is increasing public health concern. Infection caused by multidrug resistant A. baumannii is currently among the most difficult to treat due to propensity to acquire mobile genetic element. To date there is no vaccine or specific drug available for its treatment, this necessitate the need for the identification of therapeutic target enzyme and vaccine. Pharmacogenomic and computational biology represent an attractive alternative approach for the identification of common drug target and peptide-vaccine candidates in the pathogen. Vaccine designing is shifted from entire pathogen or whole antigen to peptide or epitope based-vaccines that are specific, safe and easy to produce. Comparative genomic approach was used to identify conserved protein signatures among five genomes. Three outer membrane proteins conserved among the genomes with high vaxijen scores were used to produce both B-cell and T-cell mediated immunity. Propred and propred1 were used to predict promiscuos helper T-Lymphocytes (HTL), Cytotoxic T-Lymphocyte (CTL) epitopes and MHCPred for their binding affinity.Three T-cell epitopes derived from identified B-cells bind to maximum number of MHC class I and class II alleles and specifically bind to HLA alleles such as DRB1*0101 and DRB1*0401.The epitopes are YEKLAAGPS, FYTSQPEDS and YVTGNPLGL with high potential to induce humoral and cell mediated immune responses. These predicted epitopes (small peptide) might be promising candidates for vaccine design against A. baumannii infection, though experimental validation.
VL  - 2
IS  - 1
ER  -

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Author Information

Ajao Abdullahi Taiwo

Department of Science Lab. Tech, Kwara State Polytechnic, Ilorin, Nigeria
Ajao Jumoke Falilat

Department of Computer, Library and Information Science, Kwara State University, Malete, Nigeria
Yakubu Sabo Ezemuel

Department of Microbiology, Ahmadu Bello University, Zaria, Nigeria

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APA Style

Ajao Abdullahi Taiwo, Ajao Jumoke Falilat, Yakubu Sabo Ezemuel. (2014). Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Computational Biology and Bioinformatics, 2(1), 13-18. https://doi.org/10.11648/j.cbb.20140201.13

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ACS Style

Ajao Abdullahi Taiwo; Ajao Jumoke Falilat; Yakubu Sabo Ezemuel. Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Comput. Biol. Bioinform. 2014, 2(1), 13-18. doi: 10.11648/j.cbb.20140201.13

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AMA Style

Ajao Abdullahi Taiwo, Ajao Jumoke Falilat, Yakubu Sabo Ezemuel. Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach. Comput Biol Bioinform. 2014;2(1):13-18. doi: 10.11648/j.cbb.20140201.13

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@article{10.11648/j.cbb.20140201.13,
  author = {Ajao Abdullahi Taiwo and Ajao Jumoke Falilat and Yakubu Sabo Ezemuel},
  title = {Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach},
  journal = {Computational Biology and Bioinformatics},
  volume = {2},
  number = {1},
  pages = {13-18},
  doi = {10.11648/j.cbb.20140201.13},
  url = {https://doi.org/10.11648/j.cbb.20140201.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cbb.20140201.13},
  abstract = {The bacterial species Acinetobacter baumannii is a major cause of hospital acquired infection throughout the world and it is increasing public health concern. Infection caused by multidrug resistant A. baumannii is currently among the most difficult to treat due to propensity to acquire mobile genetic element. To date there is no vaccine or specific drug available for its treatment, this necessitate the need for the identification of therapeutic target enzyme and vaccine. Pharmacogenomic and computational biology represent an attractive alternative approach for the identification of common drug target and peptide-vaccine candidates in the pathogen. Vaccine designing is shifted from entire pathogen or whole antigen to peptide or epitope based-vaccines that are specific, safe and easy to produce. Comparative genomic approach was used to identify conserved protein signatures among five genomes. Three outer membrane proteins conserved among the genomes with high vaxijen scores were used to produce both B-cell and T-cell mediated immunity. Propred and propred1 were used to predict promiscuos helper T-Lymphocytes (HTL), Cytotoxic T-Lymphocyte (CTL) epitopes and MHCPred for their binding affinity.Three T-cell epitopes derived from identified B-cells bind to maximum number of MHC class I and class II alleles and specifically bind to HLA alleles such as DRB1*0101 and DRB1*0401.The epitopes are YEKLAAGPS, FYTSQPEDS and YVTGNPLGL with high potential to induce humoral and cell mediated immune responses. These predicted epitopes (small peptide) might be promising candidates for vaccine design against A. baumannii infection, though experimental validation.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Computational Design of Peptide Vaccine against Acinetobacter Baumannii Infection using Comparative Genomic Approach
AU  - Ajao Abdullahi Taiwo
AU  - Ajao Jumoke Falilat
AU  - Yakubu Sabo Ezemuel
Y1  - 2014/03/10
PY  - 2014
N1  - https://doi.org/10.11648/j.cbb.20140201.13
DO  - 10.11648/j.cbb.20140201.13
T2  - Computational Biology and Bioinformatics
JF  - Computational Biology and Bioinformatics
JO  - Computational Biology and Bioinformatics
SP  - 13
EP  - 18
PB  - Science Publishing Group
SN  - 2330-8281
UR  - https://doi.org/10.11648/j.cbb.20140201.13
AB  - The bacterial species Acinetobacter baumannii is a major cause of hospital acquired infection throughout the world and it is increasing public health concern. Infection caused by multidrug resistant A. baumannii is currently among the most difficult to treat due to propensity to acquire mobile genetic element. To date there is no vaccine or specific drug available for its treatment, this necessitate the need for the identification of therapeutic target enzyme and vaccine. Pharmacogenomic and computational biology represent an attractive alternative approach for the identification of common drug target and peptide-vaccine candidates in the pathogen. Vaccine designing is shifted from entire pathogen or whole antigen to peptide or epitope based-vaccines that are specific, safe and easy to produce. Comparative genomic approach was used to identify conserved protein signatures among five genomes. Three outer membrane proteins conserved among the genomes with high vaxijen scores were used to produce both B-cell and T-cell mediated immunity. Propred and propred1 were used to predict promiscuos helper T-Lymphocytes (HTL), Cytotoxic T-Lymphocyte (CTL) epitopes and MHCPred for their binding affinity.Three T-cell epitopes derived from identified B-cells bind to maximum number of MHC class I and class II alleles and specifically bind to HLA alleles such as DRB1*0101 and DRB1*0401.The epitopes are YEKLAAGPS, FYTSQPEDS and YVTGNPLGL with high potential to induce humoral and cell mediated immune responses. These predicted epitopes (small peptide) might be promising candidates for vaccine design against A. baumannii infection, though experimental validation.
VL  - 2
IS  - 1
ER  -

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