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Mirabal B, Andrade BS, Souza SPA, Oliveira IBDS, Melo TS, Barbosa FS, Jaiswal AK, Seyffert N, Portela RW, Soares SDC, Azevedo V, Meyer R, Tiwari S, Castro TLDP. In silico approaches for predicting natural compounds with therapeutic potential and vaccine candidates against Streptococcus equi. J Biomol Struct Dyn 2024:1-15. [PMID: 38239063 DOI: 10.1080/07391102.2023.2301056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 12/26/2023] [Indexed: 01/26/2024]
Abstract
Equine strangles is a prevalent disease that affects the upper respiratory in horses and is caused by the Gram-positive bacterium Streptococcus equi. In addition to strangles, other clinical conditions are caused by the two S. equi subspecies, equi and zooepidemicus, which present relevant zoonotic potential. Treatment of infections caused by S. equi has become challenging due to the worldwide spreading of infected horses and the unavailability of effective therapeutics and vaccines. Penicillin treatment is often recommended, but multidrug resistance issues arised. We explored the whole genome sequence of 18 S. equi isolates to identify candidate proteins to be targeted by natural drug-like compounds or explored as immunogens. We considered only proteins shared among the sequenced strains of subspecies equi and zooepidemicus, absent in the equine host and predicted to be essential and involved in virulence. Of these, 4 proteins with cytoplasmic subcellular location were selected for molecular docking with a library of 5008 compounds, while 6 proteins were proposed as prominent immunogens against S. equi due to their probabilities of behaving as adhesins. The molecular docking analyses revealed the best ten ligands for each of the 4 drug target candidates, and they were ranked according to their binding affinities and the number of hydrogen bonds for complex stability. Finally, the natural 5-ring compound C25H20F3N5O3 excelled in molecular dynamics simulations for the increased stability in the interaction with UDP-N-acetylenolpyruvoylglucosamine reductase (MurB). This research paves the way to developing new therapeutics to minimize the impacts caused by S. equi infections.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Bernardo Mirabal
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Bruno Silva Andrade
- Department of Biological Sciences, State University of Southwest Bahia, Jequié, Brazil
| | | | | | - Tarcisio Silva Melo
- Postgraduate Program in Biotechnology, State University of Feira de Santana (UEFS), Feira de Santana, Brazil
| | - Fabrício Santos Barbosa
- Postgraduate Program in Chemistry, State University of Southwest Bahia (UESB), Jequié, Brazil
| | - Arun Kumar Jaiswal
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Nubia Seyffert
- Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil
| | | | - Siomar de Castro Soares
- Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, Brazil
| | - Vasco Azevedo
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
- School of Veterinary Medicine and Animal Science, Federal University of Bahia, Salvador, Brazil
| | - Roberto Meyer
- Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil
| | - Sandeep Tiwari
- Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil
| | - Thiago Luiz de Paula Castro
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil
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2
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Nazli A, Qiu J, Tang Z, He Y. Recent Advances and Techniques for Identifying Novel Antibacterial Targets. Curr Med Chem 2024; 31:464-501. [PMID: 36734893 DOI: 10.2174/0929867330666230123143458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 10/30/2022] [Accepted: 11/11/2022] [Indexed: 02/04/2023]
Abstract
BACKGROUND With the emergence of drug-resistant bacteria, the development of new antibiotics is urgently required. Target-based drug discovery is the most frequently employed approach for the drug development process. However, traditional drug target identification techniques are costly and time-consuming. As research continues, innovative approaches for antibacterial target identification have been developed which enabled us to discover drug targets more easily and quickly. METHODS In this review, methods for finding drug targets from omics databases have been discussed in detail including principles, procedures, advantages, and potential limitations. The role of phage-driven and bacterial cytological profiling approaches is also discussed. Moreover, current article demonstrates the advancements being made in the establishment of computational tools, machine learning algorithms, and databases for antibacterial target identification. RESULTS Bacterial drug targets successfully identified by employing these aforementioned techniques are described as well. CONCLUSION The goal of this review is to attract the interest of synthetic chemists, biologists, and computational researchers to discuss and improve these methods for easier and quicker development of new drugs.
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Affiliation(s)
- Adila Nazli
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, P. R. China
| | - Jingyi Qiu
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 266 Fangzheng Avenue, Chongqing, 400714, P. R. China
| | - Ziyi Tang
- Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 266 Fangzheng Avenue, Chongqing, 400714, P. R. China
| | - Yun He
- Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, P. R. China
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3
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Khan MAS, Miah MI, Rahman SR. A comprehensive immunoinformatic analysis of chitin deacetylase's and MP88 for designing multi-epitope vaccines against Cryptococcus neoformans. J Biomol Struct Dyn 2023:1-16. [PMID: 37723882 DOI: 10.1080/07391102.2023.2258410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 09/06/2023] [Indexed: 09/20/2023]
Abstract
Cryptococcus neoformans causes life-threatening pneumonia and meningitis and is regarded as one of the leading killers of immunocompromised individuals. There is currently no vaccine against this pathogen. Recently, WHO placed it at the top among the critical priority groups in the fungal priority pathogens to accelerate the development of effective treatments. Numerous studies suggested the potential of subunit vaccines to overcome the challenges associated with live and inactivated whole-cell vaccines. Therefore, this study exploited integrated reverse vaccinology and immunoinformatic approach to construct and characterize multi-epitope vaccines targeting chitin deacetylases (Cda1, Cda2, Cda3) and MP88 of C. neoformans. 4 CTL, 8 HTL and 6 B cell epitopes were fused with different adjuvants and appropriate linkers to design two multi-epitope vaccines (VC1 and VC2). Both chimeric constructs were predicted to be highly antigenic, non-allergenic, non-toxic, soluble and had satisfactory physicochemical properties. Molecular docking and binding free energy calculation revealed strong binding interactions between vaccine constructs and human TLRs (TLR-2 and TLR-4). Classical MD Simulation and Normal mode analysis verified the stability of the vaccine-TLR complex in the biological environment. Codon adaptation, cloning and in silico expression suggested the efficient expression of recombinant vaccine proteins in E. coli. Both candidates also generated robust immune profiles comprising innate, adaptive and humoral immune responses. Taken together, experimental validations of our findings through extensive in vitro and in vivo testing might provide an effective vaccine for prophylactic control of C. neoformans.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
| | - Md Ibrahim Miah
- Department of Microbiology, University of Dhaka, Dhaka, Bangladesh
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4
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Prado LCDS, Giacchetto Felice A, Rodrigues TCV, Tiwari S, Andrade BS, Kato RB, Oliveira CJF, Silva MV, Barh D, Azevedo VADC, Jaiswal AK, Soares SDC. New putative therapeutic targets against Serratia marcescens using reverse vaccinology and subtractive genomics. J Biomol Struct Dyn 2022; 40:10106-10121. [PMID: 34192477 DOI: 10.1080/07391102.2021.1942211] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The Gram-negative bacillus Serratia marcescens, a member of Enterobacteriaceae family, is an opportunistic nosocomial pathogen commonly found in hospital outbreaks that can cause infections in the urinary tract, bloodstream, central nervous system and pneumonia. Because S. marcescens strains are resistant to several antibiotics, it is critical the need for effective treatments, including new drugs and vaccines. Here, we applied reverse vaccinology and subtractive genomic approaches for the in silico prediction of potential vaccine and drug targets against 59 strains of S. marcescens. We found 759 core non-host homologous proteins, of which 87 are putative surface-exposed proteins, 183 secreted proteins, and 80 membrane proteins. From these proteins, we predicted seven candidates vaccine targets: a sn-glycerol-3-phosphate-binding periplasmic protein UgpB, a vitamin B12 TonB-dependent receptor, a ferrichrome porin FhuA, a divisome-associated lipoprotein YraP, a membrane-bound lytic murein transglycosylase A, a peptidoglycan lytic exotransglycosylase, and a DUF481 domain-containing protein. We also predicted two drug targets: a N(4)-acetylcytidine amidohydrolase, and a DUF1428 family protein. Using the molecular docking approach for each drug target, we identified and selected ZINC04259491 and ZINC04235390 molecules as the most favorable interactions with the target active site residues. Our findings may contribute to the development of vaccines and new drug targets against S. marcescens. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Ligia Carolina da Silva Prado
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Andrei Giacchetto Felice
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Thaís Cristina Vilela Rodrigues
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Sandeep Tiwari
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Bruno Silva Andrade
- Laboratory of Bioinformatics and Computational Chemistry, State University of Southwest of Bahia, Bahia, Brazil
| | - Rodrigo Bentes Kato
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Carlo José Freire Oliveira
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Marcos Vinicius Silva
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, West Bengal, India
| | - Vasco Ariston de Carvalho Azevedo
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Arun Kumar Jaiswal
- Inter-unit Post-Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Siomar de Castro Soares
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
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5
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Felice AG, Santos LNQ, Kolossowski I, Zen FL, Alves LG, Rodrigues TCV, Prado LCS, Jaiswal AK, Tiwari S, Miranda FM, Ramos RTJ, Azevedo V, Oliveira CJF, Benevides LJ, Soares SC. Comparative genomics of Bordetella pertussis and prediction of new vaccines and drug targets. J Biomol Struct Dyn 2022; 40:10136-10152. [PMID: 34155952 DOI: 10.1080/07391102.2021.1940279] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Pertussis is a highly contagious respiratory disease caused by Bordetella pertussis, a Gram-negative bacterium described over a century ago. Despite broad vaccine coverage and treatment options, the disease is remerging as a public health problem especially in infants and older children. Recent data indicate re-emergence of the disease is related to bacterial resistance to immune defences and decreased vaccine effectiveness, which obviously suggests the need of new effective vaccines and drugs. In an attempt to contribute with solutions to this great challenge, bioinformatics tools were used to genetically comprehend the species of these bacteria and predict new vaccines and drug targets. In fact, approaches were used to analysis genomic plasticity, gene synteny and species similarities between the 20 genomes of Bordetella pertussis already available. Furthermore, it was conducted reverse vaccinology and docking analysis to identify proteins with potential to become vaccine and drug targets, respectively. The analyses showed the 20 genomes belongs to a homogeneous group that has preserved most of the genes over time. Besides that, were found genomics islands and good proteins to be candidates for vaccine and drugs. Taken together, these results suggests new possibilities that may be useful to develop new vaccines and drugs that will help the prevention and treatment strategies of pertussis disease caused by these Bordetella strains. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Andrei G Felice
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Leonardo N Q Santos
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Ian Kolossowski
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Felipe L Zen
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Leandro G Alves
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Thaís C V Rodrigues
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Ligia C S Prado
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Arun K Jaiswal
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Sandeep Tiwari
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Fábio M Miranda
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.,Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Minas Gerais, Brazil
| | - Rommel T J Ramos
- Department of General Biology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.,Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Vasco Azevedo
- Institute of Biological Sciences, Federal University of Pará, Belém, Brazil
| | - Carlo J F Oliveira
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Leandro J Benevides
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
| | - Siomar C Soares
- Department of Microbiology, Immunology and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, MG, Brazil
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6
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Aziz S, Waqas M, Halim SA, Ali A, Iqbal A, Iqbal M, Khan A, Al-Harrasi A. Exploring whole proteome to contrive multi-epitope-based vaccine for NeoCoV: An immunoinformtics and in-silico approach. Front Immunol 2022; 13:956776. [PMID: 35990651 PMCID: PMC9382669 DOI: 10.3389/fimmu.2022.956776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/07/2022] [Indexed: 12/14/2022] Open
Abstract
Neo-Coronavirus (NeoCoV) is a novel Betacoronavirus (β-CoVs or Beta-CoVs) discovered in bat specimens in South Africa during 2011. The viral sequence is highly similar to Middle East Respiratory Syndrome, particularly that of structural proteins. Thus, scientists have emphasized the threat posed by NeoCoV associated with human angiotensin-converting enzyme 2 (ACE2) usage, which could lead to a high death rate and faster transmission rate in humans. The development of a NeoCoV vaccine could provide a promising option for the future control of the virus in case of human infection. In silico predictions can decrease the number of experiments required, making the immunoinformatics approaches cost-effective and convenient. Herein, with the aid of immunoinformatics and reverse vaccinology, we aimed to formulate a multi-epitope vaccine that may be used to prevent and treat NeoCoV infection. Based on the NeoCoV proteins, B-cell, cytotoxic T lymphocyte (CTL), and helper T lymphocyte (HTL) epitopes were shortlisted. Four vaccines (Neo-1-4) were devised by fusing shortlisted epitopes with appropriate adjuvants and linkers. The secondary and three-dimensional structures of final vaccines were then predicted. The binding interactions of these potential vaccines with toll-like immune receptors (TLR-2, TLR-3, and TLR-4) and major histocompatibility complex molecules (MHC-I and II) reveal that they properly fit into the receptors' binding domains. Besides, Neo-1 and Neo-4 vaccines exhibited better docking energies of -101.08 kcal/mol and -114.47 kcal/mol, respectively, with TLR-3 as compared to other vaccine constructs. The constructed vaccines are highly antigenic, non-allergenic, soluble, non-toxic, and topologically assessable with good physiochemical characteristics. Codon optimization and in-silico cloning confirmed efficient expression of the designed vaccines in Escherichia coli strain K12. In-silico immune simulation indicated that Neo-1 and Neo-4 vaccines could induce a strong immune response against NeoCoV. Lastly, the binding stability and strong binding affinity of Neo-1 and Neo-4 with TLR-3 receptor were validated using molecular dynamics simulations and free energy calculations (Molecular Mechanics/Generalized Born Surface Area method). The final vaccines require experimental validation to establish their safety and effectiveness in preventing NeoCoV infections.
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Affiliation(s)
- Shahkaar Aziz
- Institute of Biotechnology and Genetic Engineering, the University of Agriculture Peshawar, Peshawar, Pakistan
| | - Muhammad Waqas
- Natural and Medical Sciences Research Center, University of Nizwa, Birkat-ul-Mouz, Nizwa, Oman
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra, Pakistan
| | - Sobia Ahsan Halim
- Natural and Medical Sciences Research Center, University of Nizwa, Birkat-ul-Mouz, Nizwa, Oman
| | - Amjad Ali
- Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Mansehra, Pakistan
| | - Aqib Iqbal
- Institute of Biotechnology and Genetic Engineering, the University of Agriculture Peshawar, Peshawar, Pakistan
| | - Maaz Iqbal
- Institute of Biotechnology and Genetic Engineering, the University of Agriculture Peshawar, Peshawar, Pakistan
| | - Ajmal Khan
- Natural and Medical Sciences Research Center, University of Nizwa, Birkat-ul-Mouz, Nizwa, Oman
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Center, University of Nizwa, Birkat-ul-Mouz, Nizwa, Oman
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7
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Rida T, Ahmad S, Ullah A, Ismail S, Tahir ul Qamar M, Afsheen Z, Khurram M, Saqib Ishaq M, Alkhathami AG, Alatawi EA, Alrumaihi F, Allemailem KS. Pan-Genome Analysis of Oral Bacterial Pathogens to Predict a Potential Novel Multi-Epitopes Vaccine Candidate. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148408. [PMID: 35886259 PMCID: PMC9320593 DOI: 10.3390/ijerph19148408] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 02/08/2023]
Abstract
Porphyromonas gingivalis is a Gram-negative anaerobic bacterium, mainly present in the oral cavity and causes periodontal infections. Currently, no licensed vaccine is available against P. gingivalis and other oral bacterial pathogens. To develop a vaccine against P. gingivalis, herein, we applied a bacterial pan-genome analysis (BPGA) on the bacterial genomes that retrieved a total number of 4908 core proteins, which were further utilized for the identification of good vaccine candidates. After several vaccine candidacy analyses, three proteins, namely lytic transglycosylase domain-containing protein, FKBP-type peptidyl-propyl cis-trans isomerase and superoxide dismutase, were shortlisted for epitopes prediction. In the epitopes prediction phase, different types of B and T-cell epitopes were predicted and only those with an antigenic, immunogenic, non-allergenic, and non-toxic profile were selected. Moreover, all the predicted epitopes were joined with each other to make a multi-epitopes vaccine construct, which was linked further to the cholera toxin B-subunit to enhance the antigenicity of the vaccine. For downward analysis, a three dimensional structure of the designed vaccine was modeled. The modeled structure was checked for binding potency with major histocompatibility complex I (MHC-I), major histocompatibility complex II (MHC-II), and Toll-like receptor 4 (TLR-4) immune cell receptors which revealed that the designed vaccine performed proper binding with respect to immune cell receptors. Additionally, the binding efficacy of the vaccine was validated through a molecular dynamic simulation that interpreted strong intermolecular vaccine-receptor binding and confirmed the exposed situation of vaccine epitopes to the host immune system. In conclusion, the study suggested that the model vaccine construct has the potency to generate protective host immune responses and that it might be a good vaccine candidate for experimental in vivo and in vitro studies.
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Affiliation(s)
- Tehniyat Rida
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan; (T.R.); (A.U.); (Z.A.); (M.S.I.)
| | - Sajjad Ahmad
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan; (T.R.); (A.U.); (Z.A.); (M.S.I.)
- Correspondence: (S.A.); (K.S.A.)
| | - Asad Ullah
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan; (T.R.); (A.U.); (Z.A.); (M.S.I.)
| | - Saba Ismail
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, Pakistan;
| | - Muhammad Tahir ul Qamar
- Department of Bioinformatics and Biotechnology, Government College University, Faisalabad 38000, Pakistan;
| | - Zobia Afsheen
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan; (T.R.); (A.U.); (Z.A.); (M.S.I.)
| | - Muhammad Khurram
- Department of Pharmacy, Abasyn University, Peshawar 25000, Pakistan;
| | - Muhammad Saqib Ishaq
- Department of Health and Biological Sciences, Abasyn University, Peshawar 25000, Pakistan; (T.R.); (A.U.); (Z.A.); (M.S.I.)
| | - Ali G. Alkhathami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha 61481, Saudi Arabia;
| | - Eid A. Alatawi
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia;
| | - Faris Alrumaihi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia;
| | - Khaled S. Allemailem
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia;
- Correspondence: (S.A.); (K.S.A.)
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8
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Gomes LGR, Rodrigues TCV, Jaiswal AK, Santos RG, Kato RB, Barh D, Alzahrani KJ, Banjer HJ, Soares SDC, Azevedo V, Tiwari S. In Silico Designed Multi-Epitope Immunogen “Tpme-VAC/LGCM-2022” May Induce Both Cellular and Humoral Immunity against Treponema pallidum Infection. Vaccines (Basel) 2022; 10:vaccines10071019. [PMID: 35891183 PMCID: PMC9320004 DOI: 10.3390/vaccines10071019] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/21/2022] [Accepted: 06/23/2022] [Indexed: 01/16/2023] Open
Abstract
Syphilis, a sexually transmitted infection caused by the spirochete Treponema pallidum, has seen a resurgence over the past years. T. pallidum is capable of early dissemination and immune evasion, and the disease continues to be a global healthcare burden. The purpose of this study was to design a multi-epitope immunogen through an immunoinformatics-based approach. Multi-epitope immunogens constitute carefully selected epitopes belonging to conserved and essential bacterial proteins. Several physico-chemical characteristics, such as antigenicity, allergenicity, and stability, were determined. Further, molecular docking and dynamics simulations were performed, ensuring binding affinity and stability between the immunogen and TLR-2. An in silico cloning was performed using the pET-28a(+) vector and codon adaptation for E. coli. Finally, an in silico immune simulation was performed. The in silico predictions obtained in this work indicate that this construct would be capable of inducing the requisite immune response to elicit protection against T. pallidum. Through this methodology we have designed a promising potential vaccine candidate for syphilis, namely Tpme-VAC/LGCM-2022. However, it is necessary to validate these findings in in vitro and in vivo assays.
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Affiliation(s)
- Lucas Gabriel Rodrigues Gomes
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
| | - Thaís Cristina Vilela Rodrigues
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
| | - Arun Kumar Jaiswal
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
| | - Roselane Gonçalves Santos
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
| | - Rodrigo Bentes Kato
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
| | - Debmalya Barh
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur 721172, West Bengal, India
| | - Khalid J. Alzahrani
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (K.J.A.); (H.J.B.)
| | - Hamsa Jameel Banjer
- Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia; (K.J.A.); (H.J.B.)
| | - Siomar de Castro Soares
- Department of Immunology, Microbiology, and Parasitology, Institute of Biological and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba 38025-180, Brazil;
| | - Vasco Azevedo
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
- Correspondence: (V.A.); (S.T.)
| | - Sandeep Tiwari
- Laboratory of Cellular and Molecular Genetics (LGCM), PG Program in Bioinformatics, Department of Genetics, Ecology, and Evolution, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil; (L.G.R.G.); (T.C.V.R.); (A.K.J.); (R.G.S.); (R.B.K.); (D.B.)
- Correspondence: (V.A.); (S.T.)
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Aslam S, Ashfaq UA, Zia T, Aslam N, Alrumaihi F, Shahid F, Noor F, Qasim M. Proteome based mapping and reverse vaccinology techniques to contrive multi-epitope based subunit vaccine (MEBSV) against Streptococcus pyogenes. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2022; 100:105259. [PMID: 35231667 DOI: 10.1016/j.meegid.2022.105259] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 12/01/2021] [Accepted: 02/23/2022] [Indexed: 06/14/2023]
Abstract
Streptococcus pyogenes is a root cause of human infection like pharyngitis, tonsillitis, scarlet fever, impetigo, and respiratory tract infections. About 11 million individuals in the US suffer from pharyngitis every year. Unfortunately, no vaccine against S. pyogenes is available yet. The purpose of this study is to create a multiepitope-based subunit vaccine (MEBSV) targeting S. pyogenes top four highly antigenic proteins by using a combination of immunological techniques and molecular docking to tackle term group A streptococcal (GAS) infections. T-cell (HTL & CTL), B-cell, and IFN-γ of target proteins were forecasted and epitopes having high antigenic properties being selected for subsequent research. For designing of final vaccine, 5LBL, 9CTL, and 4HTL epitopes were joined by the KK, AAY, and GPGPG linkers. To enhance the immune response, the N-end of the vaccine was linked by adjuvant (Cholera enterotoxin subunit B) with a linker named EAAAK. With the addition of adjuvants and linkers, the construct size was 421 amino acids. IFN-γ and B-cell epitopes illustrate that the modeled construct is optimized for cell-mediated immune or humoral responses. The developed MEBSV structure was assessed to be highly antigenic, non-toxic, and non-allergenic. Moreover, disulphide engineering further enhanced the stability of the final vaccine protein. Molecular docking of the MEBSV with toll-like receptor 4 (TLR4) was conducted to check the vaccine's compatibility with the receptor. Besides, in-silico cloning has been carried out for credibility validation and proper expression of vaccine construct. These findings suggested that the multi-epitope vaccine produced might be a potential immunogenic against Group A streptococcus infections but further experimental testing is required to validate this study.
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Affiliation(s)
- Sidra Aslam
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
| | - Tuba Zia
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
| | - Nosheen Aslam
- Department of Biochemistry, Government College University Faisalabad, Pakistan
| | - Faris Alrumaihi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
| | - Farah Shahid
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
| | - Fatima Noor
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan
| | - Muhammad Qasim
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan.
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10
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Omoniyi AA, Adebisi SS, Musa SA, Nzalak JO, Bauchi ZM, Bako KW, Olatomide OD, Zachariah R, Nyengaard JR. In silico design and analyses of a multi-epitope vaccine against Crimean-Congo hemorrhagic fever virus through reverse vaccinology and immunoinformatics approaches. Sci Rep 2022; 12:8736. [PMID: 35610299 PMCID: PMC9127496 DOI: 10.1038/s41598-022-12651-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 05/12/2022] [Indexed: 12/16/2022] Open
Abstract
Crimean Congo Hemorrhagic Fever virus (CCHFV) is a deadly human pathogen that causes an emerging zoonotic disease with a broad geographic spread, especially in Africa, Asia, and Europe, and the second most common viral hemorrhagic fever and widely transmitted tick-borne viral disease. Following infection, the patients are presented with a variety of clinical manifestations and a fatality rate of 40%. Despite the high fatality rate, there are unmet clinical interventions, as no antiviral drugs or vaccines for CCHF have been approved. Immunoinformatics pipeline and reverse vaccinology were used in this study to design a multi-epitope vaccine that may elicit a protective humoral and cellular immune response against Crimean-Congo hemorrhagic fever virus infection. Three essential virulent and antigenic proteins (S, M, and L) were used to predict seven CTL and 18 HTL epitopes that were non-allergenic, antigenic, IFN-γ inducing, and non-toxic. The epitopes were connected using linkers and 50S ribosomal protein L7/L12 was used as an adjuvant and raised a multi-epitope vaccine (MEV) that is 567 amino acids long. Molecular docking and simulation of the predicted 3D structure of the MEV with the toll-like (TLR2, TLR3, and TLR4) receptors and major histocompatibility complex (MCH-I and MCH-II) indicate high interactions and stability of the complexes, MM-GBSA free binding energy calculation revealed a favourable protein-protein complex. Maximum MEV expression was achieved with a CAI value of 0.98 through in silico cloning in the Drosophila melanogaster host. According to the immune simulation, IgG1, T-helper cells, T-cytotoxic cells, INF-γ, and IL-2 were predicted to be significantly elevated. These robust computational analyses demonstrated that the proposed MEV is effective in preventing CCHFV infections. However, it is still necessary to conduct both in vitro and in vivo experiments to validate the potential of the vaccine.
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Affiliation(s)
- Akinyemi Ademola Omoniyi
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria.
- Department of Clinical Medicine, Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Aarhus University, Aarhus, Denmark.
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark.
| | - Samuel Sunday Adebisi
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Sunday Abraham Musa
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - James Oliver Nzalak
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Ahmadu Bello University, Zaria, Nigeria
| | - Zainab Mahmood Bauchi
- Department of Human Anatomy, Faculty of Basic Medical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria
| | - Kerkebe William Bako
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Oluwasegun Davis Olatomide
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Richard Zachariah
- Department of Human Anatomy, Faculty of Basic Medical Science, College of Medical Sciences, Ahmadu Bello University, Zaria, Nigeria
| | - Jens Randel Nyengaard
- Department of Clinical Medicine, Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Aarhus University, Aarhus, Denmark
- Department of Pathology, Aarhus University Hospital, Aarhus, Denmark
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11
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Vaccinomics to Design a Multi-Epitopes Vaccine for Acinetobacter baumannii. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095568. [PMID: 35564967 PMCID: PMC9104312 DOI: 10.3390/ijerph19095568] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 04/23/2022] [Accepted: 04/28/2022] [Indexed: 12/13/2022]
Abstract
Antibiotic resistance (AR) is the result of microbes’ natural evolution to withstand the action of antibiotics used against them. AR is rising to a high level across the globe, and novel resistant strains are emerging and spreading very fast. Acinetobacter baumannii is a multidrug resistant Gram-negative bacteria, responsible for causing severe nosocomial infections that are treated with several broad spectrum antibiotics: carbapenems, β-lactam, aminoglycosides, tetracycline, gentamicin, impanel, piperacillin, and amikacin. The A. baumannii genome is superplastic to acquire new resistant mechanisms and, as there is no vaccine in the development process for this pathogen, the situation is more worrisome. This study was conducted to identify protective antigens from the core genome of the pathogen. Genomic data of fully sequenced strains of A. baumannii were retrieved from the national center for biotechnological information (NCBI) database and subjected to various genomics, immunoinformatics, proteomics, and biophysical analyses to identify potential vaccine antigens against A. baumannii. By doing so, four outer membrane proteins were prioritized: TonB-dependent siderphore receptor, OmpA family protein, type IV pilus biogenesis stability protein, and OprD family outer membrane porin. Immuoinformatics predicted B-cell and T-cell epitopes from all four proteins. The antigenic epitopes were linked to design a multi-epitopes vaccine construct using GPGPG linkers and adjuvant cholera toxin B subunit to boost the immune responses. A 3D model of the vaccine construct was built, loop refined, and considered for extensive error examination. Disulfide engineering was performed for the stability of the vaccine construct. Blind docking of the vaccine was conducted with host MHC-I, MHC-II, and toll-like receptors 4 (TLR-4) molecules. Molecular dynamic simulation was carried out to understand the vaccine-receptors dynamics and binding stability, as well as to evaluate the presentation of epitopes to the host immune system. Binding energies estimation was achieved to understand intermolecular interaction energies and validate docking and simulation studies. The results suggested that the designed vaccine construct has high potential to induce protective host immune responses and can be a good vaccine candidate for experimental in vivo and in vitro studies.
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12
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Fadaka AO, Sibuyi NRS, Martin DR, Goboza M, Klein A, Madiehe AM, Meyer M. Immunoinformatics design of a novel epitope-based vaccine candidate against dengue virus. Sci Rep 2021; 11:19707. [PMID: 34611250 PMCID: PMC8492693 DOI: 10.1038/s41598-021-99227-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 09/22/2021] [Indexed: 02/08/2023] Open
Abstract
Dengue poses a global health threat, which will persist without therapeutic intervention. Immunity induced by exposure to one serotype does not confer long-term protection against secondary infection with other serotypes and is potentially capable of enhancing this infection. Although vaccination is believed to induce durable and protective responses against all the dengue virus (DENV) serotypes in order to reduce the burden posed by this virus, the development of a safe and efficacious vaccine remains a challenge. Immunoinformatics and computational vaccinology have been utilized in studies of infectious diseases to provide insight into the host-pathogen interactions thus justifying their use in vaccine development. Since vaccination is the best bet to reduce the burden posed by DENV, this study is aimed at developing a multi-epitope based vaccines for dengue control. Combined approaches of reverse vaccinology and immunoinformatics were utilized to design multi-epitope based vaccine from the sequence of DENV. Specifically, BCPreds and IEDB servers were used to predict the B-cell and T-cell epitopes, respectively. Molecular docking was carried out using Schrödinger, PATCHDOCK and FIREDOCK. Codon optimization and in silico cloning were done using JCAT and SnapGene respectively. Finally, the efficiency and stability of the designed vaccines were assessed by an in silico immune simulation and molecular dynamic simulation, respectively. The predicted epitopes were prioritized using in-house criteria. Four candidate vaccines (DV-1-4) were designed using suitable adjuvant and linkers in addition to the shortlisted epitopes. The binding interactions of these vaccines against the receptors TLR-2, TLR-4, MHC-1 and MHC-2 show that these candidate vaccines perfectly fit into the binding domains of the receptors. In addition, DV-1 has a better binding energies of - 60.07, - 63.40, - 69.89 kcal/mol against MHC-1, TLR-2, and TLR-4, with respect to the other vaccines. All the designed vaccines were highly antigenic, soluble, non-allergenic, non-toxic, flexible, and topologically assessable. The immune simulation analysis showed that DV-1 may elicit specific immune response against dengue virus. Moreover, codon optimization and in silico cloning validated the expressions of all the designed vaccines in E. coli. Finally, the molecular dynamic study shows that DV-1 is stable with minimum RMSF against TLR4. Immunoinformatics tools are now applied to screen genomes of interest for possible vaccine target. The designed vaccine candidates may be further experimentally investigated as potential vaccines capable of providing definitive preventive measure against dengue virus infection.
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Affiliation(s)
- Adewale Oluwaseun Fadaka
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa.
| | - Nicole Remaliah Samantha Sibuyi
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa
| | - Darius Riziki Martin
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa
| | - Mediline Goboza
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa
| | - Ashwil Klein
- Plant Omics Laboratory, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Private Bag X17, Bellville, 7535, Cape Town, South Africa
| | - Abram Madimabe Madiehe
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa
- Nanobiotechnology Research Group, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa
| | - Mervin Meyer
- Department of Science and Innovation/Mintek Nanotechnology Innovation Centre, Biolabels Node, Department of Biotechnology, Faculty of Natural Sciences, University of the Western Cape, Bellville, South Africa.
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13
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Allemailem KS. A Comprehensive Computer Aided Vaccine Design Approach to Propose a Multi-Epitopes Subunit Vaccine against Genus Klebsiella Using Pan-Genomics, Reverse Vaccinology, and Biophysical Techniques. Vaccines (Basel) 2021; 9:1087. [PMID: 34696195 PMCID: PMC8540426 DOI: 10.3390/vaccines9101087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 09/17/2021] [Accepted: 09/24/2021] [Indexed: 01/04/2023] Open
Abstract
Klebsiella is a genus of nosocomial bacterial pathogens and is placed in the most critical list of World Health Organization (WHO) for development of novel therapeutics. The pathogens of the genus are associated with high mortality and morbidity. Owing to their strong resistance profile against different classes of antibiotics and nonavailability of a licensed vaccine, urgent efforts are required to develop a novel vaccine candidate that can tackle all pathogenic species of the Klebsiella genus. The present study aims to design a broad-spectrum vaccine against all species of the Klebsiella genus with objectives to identify the core proteome of pathogen species, prioritize potential core vaccine proteins, analyze immunoinformatics of the vaccine proteins, construct a multi-epitopes vaccine, and provide its biophysical analysis. Herein, we investigated all reference species of the genus to reveal their core proteome. The core proteins were then subjected to multiple reverse vaccinology checks that are mandatory for the prioritization of potential vaccine candidates. Two proteins (TonB-dependent siderophore receptor and siderophore enterobactin receptor FepA) were found to fulfill all vaccine parameters. Both these proteins harbor several potent B-cell-derived T-cell epitopes that are antigenic, nonallergic, nontoxic, virulent, water soluble, IFN-γ producer, and efficient binder of DRB*0101 allele. The selected epitopes were modeled into a multi-epitope peptide comprising linkers and Cholera Toxin B adjuvant. For docking with innate immune and MHC receptors and afterward molecular dynamics simulations and binding free energy analysis, the vaccine structure was modeled for tertiary structure and refined for structural errors. To assess the binding affinity and presentation of the designed vaccine construct, binding mode and interactions analysis were performed using molecular docking and molecular dynamics simulation techniques. These biophysical approaches illustrated the vaccine as a good binder to the immune receptors and revealed robust interactions energies. The vaccine sequence was further translated to nucleotide sequence and cloned into an appropriate vector for expressing it at high rate in Escherichia coli K12 strain. In addition, the vaccine was illustrated to generate a good level of primary, secondary, and tertiary immune responses, proving good immunogenicity of the vaccine. Based on the reported results, the vaccine can be a good candidate to be evaluated for effectiveness in wet laboratory validation studies.
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Affiliation(s)
- Khaled S Allemailem
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah 51452, Saudi Arabia
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14
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Jaiswal AK, Tiwari S, Jamal SB, Oliveira LDC, Sales-Campos H, Andrade-Silva LE, Oliveira CJF, Ghosh P, Barh D, Azevedo V, Soares SC, Rodrigues VR, da Silva MV. Reverse vaccinology and subtractive genomics approaches for identifying common therapeutics against Mycobacterium leprae and Mycobacterium lepromatosis. J Venom Anim Toxins Incl Trop Dis 2021; 27:e20200027. [PMID: 33889182 PMCID: PMC8040911 DOI: 10.1590/1678-9199-jvatitd-2020-0027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 12/09/2020] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Mycobacterium leprae and Mycobacterium lepromatosis are gram-positive bacterial pathogens and the causative agents of leprosy in humans across the world. The elimination of leprosy cannot be achieved by multidrug therapy alone, and highlights the need for new tools and drugs to prevent the emergence of new resistant strains. METHODS In this study, our contribution includes the prediction of vaccine targets and new putative drugs against leprosy, using reverse vaccinology and subtractive genomics. Six strains of Mycobacterium leprae and Mycobacterium lepromatosis (4 and 2 strains, respectively) were used for comparison taking Mycobacterium leprae strain TN as the reference genome. Briefly, we used a combined reverse vaccinology and subtractive genomics approach. RESULTS As a result, we identified 12 common putative antigenic proteins as vaccine targets and three common drug targets against Mycobacterium leprae and Mycobacterium lepromatosis. Furthermore, the docking analysis using 28 natural compounds with three drug targets was done. CONCLUSIONS The bis-naphthoquinone compound Diospyrin (CID 308140) obtained from indigenous plant Diospyros spp. showed the most favored binding affinity against predicted drug targets, which can be a candidate therapeutic target in the future against leprosy.
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Affiliation(s)
- Arun Kumar Jaiswal
- Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Sandeep Tiwari
- Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Syed Babar Jamal
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Punjab, Pakistan
| | - Letícia de Castro Oliveira
- Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Helioswilton Sales-Campos
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
- Institute of Tropical Pathology and Public Health, Federal University of Goias (UFG), Goiânia, Goiás, Brazil
| | - Leonardo Eurípedes Andrade-Silva
- Infectious Disease Department, Institute of Health Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Carlo Jose Freire Oliveira
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Preetam Ghosh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, West Bengal, India
| | - Vasco Azevedo
- Graduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (UFMG), Belo Horizonte, MG, Brazil
| | - Siomar C. Soares
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Virmondes Rodrigues Rodrigues
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Marcos Vinicius da Silva
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
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15
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Qureshi NA, Bakhtiar SM, Faheem M, Shah M, Bari A, Mahmood HM, Sohaib M, Mothana RA, Ullah R, Jamal SB. Genome-Based Drug Target Identification in Human Pathogen Streptococcus gallolyticus. Front Genet 2021; 12:564056. [PMID: 33841489 PMCID: PMC8027347 DOI: 10.3389/fgene.2021.564056] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 02/16/2021] [Indexed: 12/21/2022] Open
Abstract
Streptococcus gallolysticus (Sg) is an opportunistic Gram-positive, non-motile bacterium, which causes infective endocarditis, an inflammation of the inner lining of the heart. As Sg has acquired resistance with the available antibiotics, therefore, there is a dire need to find new therapeutic targets and potent drugs to prevent and treat this disease. In the current study, an in silico approach is utilized to link genomic data of Sg species with its proteome to identify putative therapeutic targets. A total of 1,138 core proteins have been identified using pan genomic approach. Further, using subtractive proteomic analysis, a set of 18 proteins, essential for bacteria and non-homologous to host (human), is identified. Out of these 18 proteins, 12 cytoplasmic proteins were selected as potential drug targets. These selected proteins were subjected to molecular docking against drug-like compounds retrieved from ZINC database. Furthermore, the top docked compounds with lower binding energy were identified. In this work, we have identified novel drug and vaccine targets against Sg, of which some have already been reported and validated in other species. Owing to the experimental validation, we believe our methodology and result are significant contribution for drug/vaccine target identification against Sg-caused infective endocarditis.
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Affiliation(s)
- Nosheen Afzal Qureshi
- Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan
| | - Syeda Marriam Bakhtiar
- Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan
| | - Muhammad Faheem
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan
| | - Mohibullah Shah
- Department of Biochemistry, Bahauddin Zakariya University, Multan, Pakistan
| | - Ahmed Bari
- Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Hafiz M Mahmood
- Department of Pharmacology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Sohaib
- Department of Soil Science, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Ramzi A Mothana
- Department of Pharmacognosy (MAPPRC), College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Riaz Ullah
- Department of Pharmacognosy (MAPPRC), College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Syed Babar Jamal
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan
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16
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Ahmad S, Waheed Y, Ismail S, Abbasi SW, Najmi MH. A computational study to disclose potential drugs and vaccine ensemble for COVID-19 conundrum. J Mol Liq 2021; 324:114734. [PMID: 33199930 PMCID: PMC7654302 DOI: 10.1016/j.molliq.2020.114734] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/01/2020] [Accepted: 11/05/2020] [Indexed: 02/07/2023]
Abstract
The nucleocapsid (N) protein of SARS-COV-2, a virus responsible for the current COVID-19 pandemic, is considered a potential candidate for the design of new drugs and vaccines. The protein is central to several critical events in virus production, with its highly druggable nature and rich antigenic determinants making it an excellent anti-viral biomolecule. Docking-based virtual screening using the Asinex anti-viral library identified binding of drug molecules at three specific positions: loop 1 region, loop 2 region and β-sheet core pockets, the loop 2 region being the most common binding and stable site for the bulk of the molecules. In parallel, the protein was characterized by vaccine design perspective and harboured three potential B cell-derived T cell epitopes: PINTNSSPD, GVPINTNSS, and DHIGTRNPA. The epitopes are highly antigenic, virulent, non-allergic, non-toxic, bind with good affinity to the highly prevalent DRB*0101 allele and show an average population coverage of 95.04%. A multi-epitope vaccine ensemble which was 83 amino acids long was created. This was highly immunogenic, robust in generating both humoral and cellular immune responses, thermally stable, and had good physicochemical properties that could be easily analyzed in in vivo and in vitro studies. Conformational dynamics of both drug and vaccine ensemble with respect to the receptors are energetically stable, shedding light on favourable conformation and chemical interactions. These facts were validated by subjecting the complexes to relative and absolute binding free energy methods of MMGB/PBSA and WaterSwap. A strong agreement on the system stability was disclosed that supported ligand high affinity potential for the receptors. Collectively, this work sought to provide preliminary experimental data of existing anti-viral drugs as a possible therapy for COVID-19 infections and a new peptide-based vaccine for protection against this pandemic virus.
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Affiliation(s)
- Sajjad Ahmad
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Yasir Waheed
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Saba Ismail
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
| | - Sumra Wajid Abbasi
- NUMS Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Rd, The Mall, Rawalpindi, Pakistan
| | - Muzammil Hasan Najmi
- Foundation University Medical College, Foundation University Islamabad, DHA-I, Islamabad 44000, Pakistan
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Ali A, Ahmad S, Wadood A, Rehman AU, Zahid H, Qayash Khan M, Nawab J, Rahman ZU, Alouffi AS. Modeling Novel Putative Drugs and Vaccine Candidates against Tick-Borne Pathogens: A Subtractive Proteomics Approach. Vet Sci 2020; 7:E129. [PMID: 32906620 PMCID: PMC7557734 DOI: 10.3390/vetsci7030129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/02/2020] [Accepted: 09/03/2020] [Indexed: 12/12/2022] Open
Abstract
Ticks and tick-borne pathogens (TBPs) continuously causing substantial losses to the public and veterinary health sectors. The identification of putative drug targets and vaccine candidates is crucial to control TBPs. No information has been recorded on designing novel drug targets and vaccine candidates based on proteins. Subtractive proteomics is an in silico approach that utilizes extensive screening for the identification of novel drug targets or vaccine candidates based on the determination of potential target proteins available in a pathogen proteome that may be used effectively to control diseases caused by these infectious agents. The present study aimed to investigate novel drug targets and vaccine candidates by utilizing subtractive proteomics to scan the available proteomes of TBPs and predict essential and non-host homologous proteins required for the survival of these diseases causing agents. Subtractive proteome analysis revealed a list of fifteen essential, non-host homologous, and unique metabolic proteins in the complete proteome of selected pathogens. Among these therapeutic target proteins, three were excluded due to the presence in host gut metagenome, eleven were found to be highly potential drug targets, while only one was found as a potential vaccine candidate against TBPs. The present study may provide a foundation to design potential drug targets and vaccine candidates for the effective control of infections caused by TBPs.
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Affiliation(s)
- Abid Ali
- Department of Zoology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.A.); (S.A.); (H.Z.); (M.Q.K.)
| | - Shabir Ahmad
- Department of Zoology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.A.); (S.A.); (H.Z.); (M.Q.K.)
| | - Abdul Wadood
- Department of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.W.); (A.U.R.)
| | - Ashfaq U. Rehman
- Department of Biochemistry, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.W.); (A.U.R.)
- State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hafsa Zahid
- Department of Zoology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.A.); (S.A.); (H.Z.); (M.Q.K.)
| | - Muhammad Qayash Khan
- Department of Zoology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan; (A.A.); (S.A.); (H.Z.); (M.Q.K.)
| | - Javed Nawab
- Department of Environmental Sciences, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan;
| | - Zia Ur Rahman
- Department of Microbiology, Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa 23200, Pakistan;
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Esmailnia E, Amani J, Gargari SLM. Identification of novel vaccine candidate against Salmonella enterica serovar Typhi by reverse vaccinology method and evaluation of its immunization. Genomics 2020; 112:3374-3381. [PMID: 32565239 DOI: 10.1016/j.ygeno.2020.06.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/14/2020] [Accepted: 06/10/2020] [Indexed: 11/17/2022]
Abstract
Salmonella enterica serovar Typhi (S. Typhi) is an essential enteric fever causing bacterium worldwide. Due to the emergence of multidrug-resistant strains, urgently attention is needed to prevent the global spread of them. Vaccination is an alternative approach to control these kinds of infections. Currently available commercial vaccines have significant limitations such as non-recommendation for children below six years of age and poor long-term efficacy. Thus, the development of a new vaccine overcoming these limitations is immediately required. Reverse Vaccinology (RV) is one of the most robust approaches for direct screening of genome sequence assemblies to identify new protein-based vaccines. The present study aimed to identify potential vaccine candidates against S. Typhi by using the RV approach. Immunogenicity of the best candidate against S. Typhi was further investigated. The proteome of S. Typhi strain Ty2 was analyzed to identify the most immunogenic, conserved, and protective surface proteins. Among the predicted vaccine candidates, steD (fimbrial subunit) was the best for qualifying all the applied criteria. The synthetic steD gene was expressed in E.coli, and the mice were immunized with purified recombinant steD protein and then challenged with a lethal dose of S. Typhi. Immunized animals generated high protein-specific antibody titers and demonstrated 70% survival following lethal dose challenge with S. Typhi. Pretreatment of the S. Typhi cells with immunized mice antisera significantly decreased their adhesion to Caco-2 cells. Altogether, steD as a protective antigen could induce a robust and long term and protective immunity in immunized mice against S. Typhi challenge.
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Affiliation(s)
- Ehsan Esmailnia
- Department of Biology, Faculty of Basic Sciences, Shahed University, Tehran, Iran
| | - Jafar Amani
- Applied Microbiology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
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Jaiswal AK, Tiwari S, Jamal SB, de Castro Oliveira L, Alves LG, Azevedo V, Ghosh P, Oliveira CJF, Soares SC. The pan-genome of Treponema pallidum reveals differences in genome plasticity between subspecies related to venereal and non-venereal syphilis. BMC Genomics 2020; 21:33. [PMID: 31924165 PMCID: PMC6953169 DOI: 10.1186/s12864-019-6430-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/24/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Spirochetal organisms of the Treponema genus are responsible for causing Treponematoses. Pathogenic treponemes is a Gram-negative, motile, spirochete pathogen that causes syphilis in human. Treponema pallidum subsp. endemicum (TEN) causes endemic syphilis (bejel); T. pallidum subsp. pallidum (TPA) causes venereal syphilis; T. pallidum subsp. pertenue (TPE) causes yaws; and T. pallidum subsp. Ccarateum causes pinta. Out of these four high morbidity diseases, venereal syphilis is mediated by sexual contact; the other three diseases are transmitted by close personal contact. The global distribution of syphilis is alarming and there is an increasing need of proper treatment and preventive measures. Unfortunately, effective measures are limited. RESULTS Here, the genome sequences of 53 T. pallidum strains isolated from different parts of the world and a diverse range of hosts were comparatively analysed using pan-genomic strategy. Phylogenomic, pan-genomic, core genomic and singleton analysis disclosed the close connection among all strains of the pathogen T. pallidum, its clonal behaviour and showed increases in the sizes of the pan-genome. Based on the genome plasticity analysis of the subsets containing the subspecies T pallidum subsp. pallidum, T. pallidum subsp. endemicum and T. pallidum subsp. pertenue, we found differences in the presence/absence of pathogenicity islands (PAIs) and genomic islands (GIs) on subsp.-based study. CONCLUSIONS In summary, we identified four pathogenicity islands (PAIs), eight genomic islands (GIs) in subsp. pallidum, whereas subsp. endemicum has three PAIs and seven GIs and subsp. pertenue harbours three PAIs and eight GIs. Concerning the presence of genes in PAIs and GIs, we found some genes related to lipid and amino acid biosynthesis that were only present in the subsp. of T. pallidum, compared to T. pallidum subsp. endemicum and T. pallidum subsp. pertenue.
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Affiliation(s)
- Arun Kumar Jaiswal
- PG Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.,Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Sandeep Tiwari
- PG Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.
| | - Syed Babar Jamal
- Department of Biological Sciences, National University of Medical Sciences, Abid Majeed Road, Rawalpindi, Punjab, 46000, Pakistan
| | - Letícia de Castro Oliveira
- PG Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil.,Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Leandro Gomes Alves
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Vasco Azevedo
- PG Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Preetam Ghosh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA-23284, USA
| | - Carlo Jose Freira Oliveira
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil
| | - Siomar C Soares
- Department of Immunology, Microbiology and Parasitology, Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro (UFTM), Uberaba, MG, Brazil.
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Marchese V, Dal Zoppo S, Quaresima V, Rossi B, Matteelli A. Vaccines for STIs: Present and Future Directions. Sex Transm Infect 2020. [DOI: 10.1007/978-3-030-02200-6_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Lou H, Li X, Guo F, Ding M, Hu Y, Chen H, Yan J. Evaluations of Alkyl hydroperoxide reductase B cell antigen epitope as a potential epitope vaccine against Campylobacter jejuni. Saudi J Biol Sci 2019; 26:1117-1122. [PMID: 31516338 PMCID: PMC6734151 DOI: 10.1016/j.sjbs.2019.05.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Revised: 05/28/2019] [Accepted: 05/28/2019] [Indexed: 11/18/2022] Open
Abstract
Objective The present study aimed to screen and find alkyl hydroperoxide reductase (AhpC) B cell dominant epitope of Campylobacter jejuni (C. jejuni). Materials and methods Bio-informatic algorithms were used to predict B cell epitopes of AhpC. The AhpC protein and chemically synthesized antigenic epitopes of C. jejuni were considered as antigens, and the AhpC antibody was used as the primary antibody, ELISA and dot blot were used to analyze and screen the dominant epitope. The specific IgG of mice serum and IL-4 in splenocyte culture supernatant were detected by ELISA. The protective efficacy was evaluated by animal disease index and tissue histopathological staining of the jejunum. Results Seven epitopes of AhpC were predicted, one epitope (AhpC4–16) was found to recognize the antibodies of AhpC and had strong antigenicity by ELISA and dot blot analysis. In epitope AhpC4–16 immunized mice, specific IgG of serum and IL-4 in splenocyte culture supernatant were significantly higher. The illness index decreased significantly, the protective rate was 66.67%. Histopathology displayed that the jejunum morphology was better than the control group. Conclusions These findings suggested that epitope AhpC4–16 showed effective protective role against C. jejuni and is a candidate epitope of vaccine against this pathogen.
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Affiliation(s)
- Hongqiang Lou
- Department of Medical Microbiology and Parasitology, Zhejiang University School of Medicine, Hangzhou 310058, China
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
| | - Xusheng Li
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
| | - Fangming Guo
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
| | - Mingxing Ding
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
| | - Ye Hu
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
| | - Haohao Chen
- Medical Molecular Biology Laboratory, School of Medicine, Jinhua Polytechnic, Jinhua 321000, China
- Corresponding authors.
| | - Jie Yan
- Department of Medical Microbiology and Parasitology, Zhejiang University School of Medicine, Hangzhou 310058, China
- Corresponding authors.
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Wong YKE, Lam KW, Ho KY, Yu CSA, Cho CSW, Tsang HF, Chu MKM, Ng PWL, Tai CSW, Chan LWC, Wong EYL, Wong SCC. The applications of big data in molecular diagnostics. Expert Rev Mol Diagn 2019; 19:905-917. [PMID: 31422710 DOI: 10.1080/14737159.2019.1657834] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Yin Kwan Evelyn Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Ka Wai Lam
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Ka Yi Ho
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | | | - Chi Shing William Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Hin Fung Tsang
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Man Kee Maggie Chu
- Department of Life Science, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region
| | - Po Wah Lawrence Ng
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong Special Administrative Region
| | - Chi Shing William Tai
- Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Lawrence Wing Chi Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Elaine Yue Ling Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
| | - Sze Chuen Cesar Wong
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong Special Administrative Region
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Dar HA, Zaheer T, Shehroz M, Ullah N, Naz K, Muhammad SA, Zhang T, Ali A. Immunoinformatics-Aided Design and Evaluation of a Potential Multi-Epitope Vaccine against Klebsiella Pneumoniae. Vaccines (Basel) 2019; 7:E88. [PMID: 31409021 PMCID: PMC6789656 DOI: 10.3390/vaccines7030088] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 08/03/2019] [Accepted: 08/06/2019] [Indexed: 12/12/2022] Open
Abstract
Klebsiella pneumoniae is an opportunistic gram-negative bacterium that causes nosocomial infection in healthcare settings. Despite the high morbidity and mortality rate associated with these bacterial infections, no effective vaccine is available to counter the pathogen. In this study, the pangenome of a total of 222 available complete genomes of K. pneumoniae was explored to obtain the core proteome. A reverse vaccinology strategy was applied to the core proteins to identify four antigenic proteins. These proteins were then subjected to epitope mapping and prioritization steps to shortlist nine B-cell derived T-cell epitopes which were linked together using GPGPG linkers. An adjuvant (Cholera Toxin B) was also added at the N-terminal of the vaccine construct to improve its immunogenicity and a stabilized multi-epitope protein structure was obtained using molecular dynamics simulation. The designed vaccine exhibited sustainable and strong bonding interactions with Toll-like receptor 2 and Toll-like receptor 4. In silico reverse translation and codon optimization also confirmed its high expression in E. coli K12 strain. The computer-aided analyses performed in this study imply that the designed multi-epitope vaccine can elicit specific immune responses against K. pneumoniae. However, wet lab validation is necessary to further verify the effectiveness of this proposed vaccine candidate.
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Affiliation(s)
- Hamza Arshad Dar
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
| | - Tahreem Zaheer
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
| | - Muhammad Shehroz
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
| | - Nimat Ullah
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
| | - Kanwal Naz
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan
| | - Syed Aun Muhammad
- Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan 60800, Pakistan
| | - Tianyu Zhang
- State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou 510530, China
| | - Amjad Ali
- Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan.
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Vilela Rodrigues TC, Jaiswal AK, de Sarom A, de Castro Oliveira L, Freire Oliveira CJ, Ghosh P, Tiwari S, Miranda FM, de Jesus Benevides L, Ariston de Carvalho Azevedo V, de Castro Soares S. Reverse vaccinology and subtractive genomics reveal new therapeutic targets against Mycoplasma pneumoniae: a causative agent of pneumonia. ROYAL SOCIETY OPEN SCIENCE 2019; 6:190907. [PMID: 31417766 PMCID: PMC6689572 DOI: 10.1098/rsos.190907] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 07/04/2019] [Indexed: 05/03/2023]
Abstract
Pneumonia is an infectious disease caused by bacteria, viruses or fungi that results in millions of deaths globally. Despite the existence of prophylactic methods against some of the major pathogens of the disease, there is no efficient prophylaxis against atypical agents such as Mycoplasma pneumoniae, a bacterium associated with cases of community-acquired pneumonia. Because of the morphological peculiarity of M. pneumoniae, which leads to an increased resistance to antibiotics, studies that prospectively investigate the development of vaccines and drug targets appear to be one of the best ways forward. Hence, in this paper, bioinformatics tools were used for vaccine and pharmacological prediction. We conducted comparative genomic analysis on the genomes of 88 M. pneumoniae strains, as opposed to a reverse vaccinology analysis, in relation to the capacity of M. pneumoniae proteins to bind to the major histocompatibility complex, revealing seven targets with immunogenic potential. Predictive cytoplasmic proteins were tested as potential drug targets by studying their structures in relation to other proteins, metabolic pathways and molecular anchorage, which identified five possible drug targets. These findings are a valuable addition to the development of vaccines and the selection of new in vivo drug targets that may contribute to further elucidating the molecular basis of M. pneumoniae-host interactions.
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Affiliation(s)
| | - Arun Kumar Jaiswal
- Department of Microbiology, Immunology and Parasitology, Federal University of Triângulo Mineiro, Minas Gerais, Brazil
- Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Minas Gerais, Brazil
| | - Alissa de Sarom
- Department of Microbiology, Immunology and Parasitology, Federal University of Triângulo Mineiro, Minas Gerais, Brazil
| | - Letícia de Castro Oliveira
- Department of Microbiology, Immunology and Parasitology, Federal University of Triângulo Mineiro, Minas Gerais, Brazil
- Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Minas Gerais, Brazil
| | - Carlo José Freire Oliveira
- Department of Microbiology, Immunology and Parasitology, Federal University of Triângulo Mineiro, Minas Gerais, Brazil
| | - Preetam Ghosh
- Department of Computer Science, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Sandeep Tiwari
- Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Minas Gerais, Brazil
| | - Fábio Malcher Miranda
- Department of Genetics, Ecology and Evolution, Federal University of Minas Gerais, Minas Gerais, Brazil
| | - Leandro de Jesus Benevides
- Bioinformatics Laboratory - LABINFO, National Laboratory of Scientific Computation - LNCC/MCTI, Rio de Janeiro, Brazil
| | | | - Siomar de Castro Soares
- Department of Microbiology, Immunology and Parasitology, Federal University of Triângulo Mineiro, Minas Gerais, Brazil
- Author for correspondence: Siomar de Castro Soares e-mail:
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DE Souza RO, DA Silva KE, Pereira RM, Simionatto S. Comparison of Treponema pallidum genomes for the prediction of resistance genes. J Biosci 2019; 44:34. [PMID: 31180047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Syphilis is a sexually transmitted infection caused by Treponema pallidum, which is highly prevalent in several countries, including Brazil. The use of bioinformatics' tools for the identification of resistance genes is an important practice for the study of microorganisms, such as T. pallidum. In this study, the complete genomes of 43 strains of T. pallidum, isolated from different countries, were analyzed. A total of 41,514 sequences were obtained, and compared against prokaryote resistance gene databases using BLASTn, BLASTx and RGI for gene alignment and prediction. From the alignments, it was possible to identify antibiotic resistance genes for each strain. The genes identified in each comparison were grouped according to the antibiotic category in which they show resistance to. The antibiotic-resistant genes related to drugs used to treat syphilis were grouped separately. The in silico tools used have shown to be effective in identifying resistance genes in genomes of T. pallidum strains. Due to the lack of research and accurate information regarding the antibiotic resistance genes in T. pallidum, this study serves as a basis for studies in molecular biology whose aim is the identification of these genes, besides being a reference to help in the control and treatment of this infection.
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Parvaiz N, Abbasi SW, Uddin R, Azam SS. Targeting isoprenoid biosynthesis pathway in Staphylococcus lugdunensis: Comparative docking and simulation studies of conventional and allosteric sites. J Mol Liq 2018. [DOI: 10.1016/j.molliq.2018.08.072] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Solanki V, Tiwari V. Subtractive proteomics to identify novel drug targets and reverse vaccinology for the development of chimeric vaccine against Acinetobacter baumannii. Sci Rep 2018; 8:9044. [PMID: 29899345 PMCID: PMC5997985 DOI: 10.1038/s41598-018-26689-7] [Citation(s) in RCA: 127] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/17/2018] [Indexed: 11/24/2022] Open
Abstract
The emergence of drug-resistant Acinetobacter baumannii is the global health problem associated with high mortality and morbidity. Therefore it is high time to find a suitable therapeutics for this pathogen. In the present study, subtractive proteomics along with reverse vaccinology approaches were used to predict suitable therapeutics against A. baumannii. Using subtractive proteomics, we have identified promiscuous antigenic membrane proteins that contain the virulence factors, resistance factors and essentiality factor for this pathogenic bacteria. Selected promiscuous targeted membrane proteins were used for the design of chimeric-subunit vaccine with the help of reverse vaccinology. Available best tools and servers were used for the identification of MHC class I, II and B cell epitopes. All selected epitopes were further shortlisted computationally to know their immunogenicity, antigenicity, allergenicity, conservancy and toxicity potentials. Immunogenic predicted promiscuous peptides used for the development of chimeric subunit vaccine with immune-modulating adjuvants, linkers, and PADRE (Pan HLA-DR epitopes) amino acid sequence. Designed vaccine construct V4 also interact with the MHC, and TLR4/MD2 complex as confirm by docking and molecular dynamics simulation studies. Therefore designed vaccine construct V4 can be developed to control the host-pathogen interaction or infection caused by A. baumannii.
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Affiliation(s)
- Vandana Solanki
- Department of Biochemistry, Central University of Rajasthan, Bandarsindri, Ajmer, 305817, India
| | - Vishvanath Tiwari
- Department of Biochemistry, Central University of Rajasthan, Bandarsindri, Ajmer, 305817, India.
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de Sarom A, Kumar Jaiswal A, Tiwari S, de Castro Oliveira L, Barh D, Azevedo V, Jose Oliveira C, de Castro Soares S. Putative vaccine candidates and drug targets identified by reverse vaccinology and subtractive genomics approaches to control Haemophilus ducreyi, the causative agent of chancroid. J R Soc Interface 2018; 15:20180032. [PMID: 29792307 PMCID: PMC6000166 DOI: 10.1098/rsif.2018.0032] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 04/30/2018] [Indexed: 12/13/2022] Open
Abstract
Chancroid is a sexually transmitted infection (STI) caused by the Gram-negative bacterium Haemophilus ducreyi The control of chancroid is difficult and the only current available treatment is antibiotic therapy; however, antibiotic resistance has been reported in endemic areas. Owing to recent outbreaks of STIs worldwide, it is important to keep searching for new treatment strategies and preventive measures. Here, we applied reverse vaccinology and subtractive genomic approaches for the in silico prediction of potential vaccine and drug targets against 28 strains of H. ducreyi We identified 847 non-host homologous proteins, being 332 exposed/secreted/membrane and 515 cytoplasmic proteins. We also checked their essentiality, functionality and virulence. Altogether, we predicted 13 candidate vaccine targets and three drug targets, where two vaccines (A01_1275, ABC transporter substrate-binding protein; and A01_0690, Probable transmembrane protein) and three drug targets (A01_0698, Purine nucleoside phosphorylase; A01_0702, Transcription termination factor; and A01_0677, Fructose-bisphosphate aldolase class II) are harboured by pathogenicity islands. Finally, we applied a molecular docking approach to analyse each drug target and selected ZINC77257029, ZINC43552589 and ZINC67912117 as promising molecules with favourable interactions with the target active site residues. Altogether, the targets identified here may be used in future strategies to control chancroid worldwide.
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Affiliation(s)
- Alissa de Sarom
- Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil
| | - Arun Kumar Jaiswal
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sandeep Tiwari
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Letícia de Castro Oliveira
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Debmalya Barh
- Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology, Nonakuri, Purba Medinipur, West Bengal, India
| | - Vasco Azevedo
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Carlo Jose Oliveira
- Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil
| | - Siomar de Castro Soares
- Institute of Biological Sciences and Natural Sciences, Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil
- Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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Kazi A, Chuah C, Majeed ABA, Leow CH, Lim BH, Leow CY. Current progress of immunoinformatics approach harnessed for cellular- and antibody-dependent vaccine design. Pathog Glob Health 2018. [PMID: 29528265 DOI: 10.1080/20477724.2018.1446773] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
Abstract
Immunoinformatics plays a pivotal role in vaccine design, immunodiagnostic development, and antibody production. In the past, antibody design and vaccine development depended exclusively on immunological experiments which are relatively expensive and time-consuming. However, recent advances in the field of immunological bioinformatics have provided feasible tools which can be used to lessen the time and cost required for vaccine and antibody development. This approach allows the selection of immunogenic regions from the pathogen genomes. The ideal regions could be developed as potential vaccine candidates to trigger protective immune responses in the hosts. At present, epitope-based vaccines are attractive concepts which have been successfully trailed to develop vaccines which target rapidly mutating pathogens. In this article, we provide an overview of the current progress of immunoinformatics and their applications in the vaccine design, immune system modeling and therapeutics.
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Affiliation(s)
- Ada Kazi
- a Institute for Research in Molecular Medicine (INFORMM) , Universiti Sains Malaysia , Kelantan , Malaysia.,b School of Health Sciences , Universiti Sains Malaysia , Kelantan , Malaysia
| | - Candy Chuah
- c School of Medical Sciences , Universiti Sains Malaysia , Kelantan , Malaysia
| | | | - Chiuan Herng Leow
- d Institute for Research in Molecular Medicine (INFORMM) , Universiti Sains Malaysia , Penang , Malaysia
| | - Boon Huat Lim
- b School of Health Sciences , Universiti Sains Malaysia , Kelantan , Malaysia
| | - Chiuan Yee Leow
- a Institute for Research in Molecular Medicine (INFORMM) , Universiti Sains Malaysia , Kelantan , Malaysia
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Uddin R, Siddiqui QN, Azam SS, Saima B, Wadood A. Identification and characterization of potential druggable targets among hypothetical proteins of extensively drug resistant Mycobacterium tuberculosis (XDR KZN 605) through subtractive genomics approach. Eur J Pharm Sci 2018; 114:13-23. [DOI: 10.1016/j.ejps.2017.11.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2017] [Revised: 11/04/2017] [Accepted: 11/16/2017] [Indexed: 01/09/2023]
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