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Hasani SM, Behdani M, Amirkhani Z, Rahimmanesh I, Esmaeilifallah M, Zaker E, Nikpour P, Fadaie M, Ghafouri E, Naderi S, Khanahmad H. Novel SARS-COV2 poly epitope phage-based candidate vaccine and its immunogenicity. Res Pharm Sci 2024; 19:573-590. [PMID: 39691297 PMCID: PMC11648347 DOI: 10.4103/rps.rps_82_24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 07/16/2024] [Accepted: 07/20/2024] [Indexed: 12/19/2024] Open
Abstract
Background and purpose The global emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has prompted widespread concern. Bacteriophages have recently gained attention as a cost-effective and stable alternative for vaccine development due to their adjuvant properties. This study aimed to design and validate a poly epitope composed of viral proteins. Experimental approach SARS-CoV-2 proteins (spike, nucleocapsid, membrane, envelope, papain-like protease, and RNA-dependent RNA polymerase) were selected for analysis. Immunoinformatic methods were employed to predict B and T cell epitopes, assessing their antigenicity, allergenicity, and toxicity. Epitopes meeting criteria for high antigenicity, non-allergenicity, and non-toxicity were linked to form poly epitopes. These sequences were synthesized and cloned into pHEN4 plasmids to generate Poly1 and Poly2 phagemid vectors. Recombinant Poly1 and Poly2 phages were produced by transforming M13ΔIII plasmids and phagemid vectors into E. coli TG1. Female Balb/c mice were immunized with a cocktail of Poly1 and Poly2 phages, and their serum was collected for ELISA testing. Interferon-gamma (IFN-γ) testing was performed on spleen-derived lymphocytes to evaluate immune system activation. Findings/Results Recombinant Poly1 and Poly2 phages were produced, and their titer was determined as 1013 PFU/mL. Efficient humoral immune responses and cellular immunity activation in mice were achieved following phage administration. Conclusion and implication Poly epitopes displayed on phages exhibit adjuvant properties, enhancing humoral and cellular immunity in mice. This suggests that phages could serve as adjuvants to bolster immunity against SARS-Cov-2. Recombinant phages could be applied as effective candidates for injectable and oral vaccine development strategies.
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Affiliation(s)
- Sharareh Mohammad Hasani
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahdi Behdani
- Department of Biotechnology, Biotechnology Research Center, Venom and Biotherapeutics Molecules Lab, Pasteur Institute of Iran, Tehran, Iran
| | - Zohreh Amirkhani
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ilnaz Rahimmanesh
- Applied Physiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahsa Esmaeilifallah
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Department of Parasitology and Mycology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Erfan Zaker
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Skin Diseases and Leishmaniasis Research Centre, Isfahan University of Medical Science, Isfahan, Iran
| | - Parvaneh Nikpour
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahmood Fadaie
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
- Skin Diseases and Leishmaniasis Research Centre, Isfahan University of Medical Science, Isfahan, Iran
| | - Elham Ghafouri
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shamsi Naderi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hossein Khanahmad
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Chau ECT, Kwong TC, Pang CK, Chan LT, Chan AML, Yao X, Tam JSL, Chan SW, Leung GPH, Tai WCS, Kwan YW. A Novel Probiotic-Based Oral Vaccine against SARS-CoV-2 Omicron Variant B.1.1.529. Int J Mol Sci 2023; 24:13931. [PMID: 37762235 PMCID: PMC10530581 DOI: 10.3390/ijms241813931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
COVID-19 pandemic, caused by the SARS-CoV-2 virus, is still affecting the entire world via the rapid emergence of new contagious variants. Vaccination remains the most effective prevention strategy for viral infection, yet not all countries have sufficient access to vaccines due to limitations in manufacturing and transportation. Thus, there is an urgent need to develop an easy-to-use, safe, and low-cost vaccination approach. Genetically modified microorganisms, especially probiotics, are now commonly recognized as attractive vehicles for delivering bioactive molecules via oral and mucosal routes. In this study, Lactobacillus casei has been selected as the oral vaccine candidate based on its' natural immunoadjuvant properties and the ability to resist acidic gastric environment, to express antigens of SARS-CoV-2 Omicron variant B.1.1.529 with B-cell and T-cell epitopes. This newly developed vaccine, OMGVac, was shown to elicit a robust IgG systemic immune response against the spike protein of Omicron variant B.1.1.529 in Golden Syrian hamsters. No adverse effects were found throughout this study, and the overall safety was evaluated in terms of physiological and histopathological examinations of different organs harvested. In addition, this study illustrated the use of the recombinant probiotic as a live delivery vector in the initiation of systemic immunity, which shed light on the future development of next-generation vaccines to combat emerging infectious diseases.
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Affiliation(s)
- Eddie Chung Ting Chau
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - Tsz Ching Kwong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - Chun Keung Pang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - Lee Tung Chan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - Andrew Man Lok Chan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - Xiaoqiang Yao
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
| | - John Siu Lun Tam
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China; (J.S.L.T.); (W.C.S.T.)
| | - Shun Wan Chan
- Department of Food and Health Sciences, Faculty of Science and Technology, Technological and Higher Education Institute of Hong Kong, Hong Kong, China;
| | - George Pak Heng Leung
- Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China;
| | - William Chi Shing Tai
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Kong, China; (J.S.L.T.); (W.C.S.T.)
| | - Yiu Wa Kwan
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China; (E.C.T.C.); (T.C.K.); (C.K.P.); (L.T.C.); (A.M.L.C.); (X.Y.)
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3
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Rasheed MA, Raza S, Alonazi WB, Ashraf MA, Navid MT, Aslam I, Iqbal MN, Rahman SU, Riaz MI. Design and Assessment of a Novel In Silico Approach for Developing a Next-Generation Multi-Epitope Universal Vaccine Targeting Coronaviruses. Microorganisms 2023; 11:2282. [PMID: 37764127 PMCID: PMC10537730 DOI: 10.3390/microorganisms11092282] [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: 06/05/2023] [Revised: 08/25/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
In the past two decades, there have been three coronavirus outbreaks that have caused significant economic and health crises. Biologists predict that more coronaviruses may emerge in the near future. Therefore, it is crucial to develop preventive vaccines that can effectively combat multiple coronaviruses. In this study, we employed computational approaches to analyze genetically related coronaviruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants, focusing on the spike glycoprotein as a potential vaccine candidate. By predicting common epitopes, we identified the top epitopes and combined them to create a multi-epitope candidate vaccine. The overall quality of the candidate vaccine was validated through in silico analyses, confirming its antigenicity, immunogenicity, and stability. In silico docking and simulation studies suggested a stable interaction between the multi-epitope candidate vaccine and human toll-like receptor 2 (TLR2). In silico codon optimization and cloning were used to further explore the successful expression of the designed candidate vaccine in a prokaryotic expression system. Based on computational analysis, the designed candidate vaccine was found to be stable and non-allergenic in the human body. The efficiency of the multi-epitope vaccine in triggering effective cellular and humoral immune responses was assessed through immune stimulation, demonstrating that the designed candidate vaccine can elicit specific immune responses against multiple coronaviruses. Therefore, it holds promise as a potential candidate vaccine against existing and future coronaviruses.
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Affiliation(s)
- Muhammad Asif Rasheed
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan; (M.A.R.); (I.A.); (M.N.I.)
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Sohail Raza
- College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan; (M.A.A.); (M.I.R.)
| | - Wadi B. Alonazi
- Health Administration Department, College of Business Administration, King Saud University, Riyadh 11587, Saudi Arabia
| | - Muhammad Adnan Ashraf
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan; (M.A.A.); (M.I.R.)
| | - Muhammad Tariq Navid
- Department of Biological Sciences, National University of Medical Sciences, Rawalpindi 46000, Pakistan;
| | - Irfana Aslam
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan; (M.A.R.); (I.A.); (M.N.I.)
| | - Muhammad Nasir Iqbal
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal 57000, Pakistan; (M.A.R.); (I.A.); (M.N.I.)
| | - Sarfraz Ur Rahman
- Department of Parasitology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan;
| | - Muhammad Ilyas Riaz
- Institute of Microbiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan; (M.A.A.); (M.I.R.)
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4
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A simple in-host model for COVID-19 with treatments: model prediction and calibration. J Math Biol 2023; 86:20. [PMID: 36625956 PMCID: PMC9838461 DOI: 10.1007/s00285-022-01849-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 09/14/2022] [Accepted: 12/01/2022] [Indexed: 01/11/2023]
Abstract
In this paper, we provide a simple ODEs model with a generic nonlinear incidence rate function and incorporate two treatments, blocking the virus binding and inhibiting the virus replication to investigate the impact of calibration on model predictions for the SARS-CoV-2 infection dynamics. We derive conditions of the infection eradication for the long-term dynamics using the basic reproduction number, and complement the characterization of the dynamics at short-time using the resilience and reactivity of the virus-free equilibrium are considered to inform on the average time of recovery and sensitivity to perturbations in the initial virus free stage. Then, we calibrate the treatment model to clinical datasets for viral load in mild and severe cases and immune cells in severe cases. Based on the analysis, the model calibrated to these different datasets predicts distinct scenarios: eradication with a non reactive virus-free equilibrium, eradication with a reactive virus-free equilibrium, and failure of infection eradication. Moreover, severe cases generate richer dynamics and different outcomes with the same treatment. Calibration to different datasets can lead to diverse model predictions, but combining long- and short-term dynamics indicators allows the categorization of model predictions and determination of infection severity.
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5
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Exploring the mechanism of compromised thermostability of aromatic L-amino acid decarboxylase from Bacillus atrophaeus through comparative molecular dynamics simulations. COMPUT THEOR CHEM 2022. [DOI: 10.1016/j.comptc.2022.113972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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6
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Aiman S, Alhamhoom Y, Ali F, Rahman N, Rastrelli L, Khan A, Farooq QUA, Ahmed A, Khan A, Li C. Multi-epitope chimeric vaccine design against emerging Monkeypox virus via reverse vaccinology techniques- a bioinformatics and immunoinformatics approach. Front Immunol 2022; 13:985450. [PMID: 36091024 PMCID: PMC9452969 DOI: 10.3389/fimmu.2022.985450] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 07/29/2022] [Indexed: 12/15/2022] Open
Abstract
The emerging monkeypox virus (MPXV) is a zoonotic orthopoxvirus that causes infections in humans similar to smallpox. Since May 2022, cases of monkeypox (MPX) have been increasingly reported by the World Health Organization (WHO) worldwide. Currently, there are no clinically validated treatments for MPX infections. In this study, an immunoinformatics approach was used to identify potential vaccine targets against MPXV. A total of 190 MPXV-2022 proteins were retrieved from the ViPR database and subjected to various analyses including antigenicity, allergenicity, toxicity, solubility, IFN-γ, and virulence. Three outer membrane and extracellular proteins were selected based on their respective parameters to predict B-cell and T-cell epitopes. The epitopes are conserved among different strains of MPXV and the population coverage is 100% worldwide, which will provide broader protection against various strains of the virus globally. Nine overlapping MHC-I, MHC-II, and B-cell epitopes were selected to design multi-epitope vaccine constructs linked with suitable linkers in combination with different adjuvants to enhance the immune responses of the vaccine constructs. Molecular modeling and structural validation ensured high-quality 3D structures of vaccine constructs. Based on various immunological and physiochemical properties and docking scores, MPXV-V2 was selected for further investigation. In silico cloning revealed a high level of gene expression for the MPXV-V2 vaccine within the bacterial expression system. Immune and MD simulations confirmed the molecular stability of the MPXV-V2 construct, with high immune responses within the host cell. These results may aid in the development of experimental vaccines against MPXV with increased potency and improved safety.
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Affiliation(s)
- Sara Aiman
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Yahya Alhamhoom
- Department of Pharmaceutics, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Fawad Ali
- Department of Biochemistry, Hazara University, Mansehra, Pakistan
| | - Noor Rahman
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan
- *Correspondence: Noor Rahman, ; Chunhua Li,
| | - Luca Rastrelli
- Dipartimento di Farmacia, University of Salerno, Via Giovanni Paolo II, Fisciano, SA, Italy
| | - Asifullah Khan
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan
| | - Qurat ul Ain Farooq
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
| | - Abbas Ahmed
- Department of Biotechnology, Abdul Wali Khan University Mardan, Mardan, Pakistan
| | - Asif Khan
- Education department, Qurtaba University of Science and Information Technology (QUSIT) Peshawar, Peshawar, Pakistan
| | - Chunhua Li
- Faculty of Environmental and Life Sciences, Beijing University of Technology, Beijing, China
- *Correspondence: Noor Rahman, ; Chunhua Li,
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7
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Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022; 122:11287-11368. [PMID: 35594413 PMCID: PMC9159519 DOI: 10.1021/acs.chemrev.1c00965] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Despite tremendous efforts in the past two years, our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), virus-host interactions, immune response, virulence, transmission, and evolution is still very limited. This limitation calls for further in-depth investigation. Computational studies have become an indispensable component in combating coronavirus disease 2019 (COVID-19) due to their low cost, their efficiency, and the fact that they are free from safety and ethical constraints. Additionally, the mechanism that governs the global evolution and transmission of SARS-CoV-2 cannot be revealed from individual experiments and was discovered by integrating genotyping of massive viral sequences, biophysical modeling of protein-protein interactions, deep mutational data, deep learning, and advanced mathematics. There exists a tsunami of literature on the molecular modeling, simulations, and predictions of SARS-CoV-2 and related developments of drugs, vaccines, antibodies, and diagnostics. To provide readers with a quick update about this literature, we present a comprehensive and systematic methodology-centered review. Aspects such as molecular biophysics, bioinformatics, cheminformatics, machine learning, and mathematics are discussed. This review will be beneficial to researchers who are looking for ways to contribute to SARS-CoV-2 studies and those who are interested in the status of the field.
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Affiliation(s)
- Kaifu Gao
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Rui Wang
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Jiahui Chen
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Limei Cheng
- Clinical
Pharmacology and Pharmacometrics, Bristol
Myers Squibb, Princeton, New Jersey 08536, United States
| | - Jaclyn Frishcosy
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuta Huzumi
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Yuchi Qiu
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Tom Schluckbier
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Xiaoqi Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
| | - Guo-Wei Wei
- Department
of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States
- Department
of Biochemistry and Molecular Biology, Michigan
State University, East Lansing, Michigan 48824, United States
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8
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Ullah MF, Ali Y, Khan MR, Khan IU, Yan B, Ijaz Khan M, Malik M. A review of COVID-19: Treatment strategies and CRISPR/Cas9 gene editing technology approaches to the coronavirus disease. Saudi J Biol Sci 2022; 29:860-871. [PMID: 34658640 PMCID: PMC8511869 DOI: 10.1016/j.sjbs.2021.10.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/12/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
The new coronavirus SARS-CoV-2 pandemic has put the world on lockdown for the first time in decades. This has wreaked havoc on the global economy, put additional burden on local and global public health resources, and, most importantly, jeopardised human health. CRISPR stands for Clustered Regularly Interspaced Short Palindromic Repeats, and the CRISPR associated (Cas) protein (CRISPR/Cas) was identified to have structures in E. coli. The most modern of these systems is CRISPR/Cas. Editing the genomes of plants and animals took several years and cost hundreds of thousands of dollars until the CRISPR approach was discovered in 2012. As a result, CRISPR/Cas has piqued the scientific community's attention, particularly for disease diagnosis and treatment, because it is faster, less expensive, and more precise than previous genome editing technologies. Data from gene mutations in specific patients gathered using CRISPR/Cas can aid in the identification of the best treatment strategy for each patient, as well as other research domains such as coronavirus replication in cell culture, such as SARS-CoV2. The implications of the most prevalent driver mutations, on the other hand, are often unknown, making treatment interpretation difficult. For detecting a wide range of target genes, the CRISPR/Cas categories provide highly sensitive and selective tools. Genome-wide association studies are a relatively new strategy to discovering genes involved in human disease when it comes to the next steps in genomic research. Furthermore, CRISPR/Cas provides a method for modifying non-coding portions of the genome, which will help advance whole genome libraries by speeding up the analysis of these poorly defined parts of the genome.
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Affiliation(s)
- Muhammad Farhat Ullah
- Genome Editing & Sequencing Lab, National Centre for Bioinformatics, Quaid-i-Azam University Islamabad, Pakistan
| | - Yasir Ali
- Genome Editing & Sequencing Lab, National Centre for Bioinformatics, Quaid-i-Azam University Islamabad, Pakistan
| | - Muhammad Ramzan Khan
- Genome Editing & Sequencing Lab, National Centre for Bioinformatics, Quaid-i-Azam University Islamabad, Pakistan
| | - Inam Ullah Khan
- University of Sheffield, Department of Chemical and Biological Engineering, Arts Tower Western Bank, Sheffield, S102TN, The University of Sheffield, Manchester, UK
| | - Bing Yan
- Department of Pharmacy, The First Affiliated Hospital of Huzhou University, Huzhou 313000, PR China
| | - M. Ijaz Khan
- Department of Mathematics and Statistics, Riphah International University, I-14, Islamabad 44000, Pakistan
| | - M.Y. Malik
- Department of Mathematics, College of Sciences, King Khalid University, Abha 61413, Saudi Arabia
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9
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Zafar S, Ajab H, Mughal ZUN, Ahmed zai J, Baig S, Baig A, Habib Z, Jamil F, Ibrahim M, Kanwal S, Asif Rasheed M. Prediction and evaluation of multi epitope based sub-unit vaccine against Salmonella typhimurium. Saudi J Biol Sci 2022; 29:1092-1099. [PMID: 35197778 PMCID: PMC8847936 DOI: 10.1016/j.sjbs.2021.09.061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 09/22/2021] [Accepted: 09/25/2021] [Indexed: 01/23/2023] Open
Abstract
Salmonella enteric serovar Typhimurium is the most common enteric pathogen in humans and animals. Consumption of contaminated food or water triggers inflammation that allows Salmonella to spread into the gut and causes gastrointestinal diseases. The infection spreads by intestinal invasion, phagocyte internalization and subsequent dissemination in many other patients. This research used TolA, a Salmonella typhimurium membrane protein, to computationally design a multi-epitope vaccine against the pathogen. Complete consistency of the candidate vaccine was checked In silico, and molecular dynamics simulations confirmed the vaccine's stability. According to docking report, the vaccine has a good affinity with toll-like receptors. In silico cloning and codon optimization techniques improved the vaccine's efficacy in Salmonella typhimurium manifestation process. The candidate vaccine induced an efficient immune response, as determined by In silico immune simulation. Computational studies revealed that the engineered multi-epitope vaccine is structurally stable, capable of eliciting particular immunological reactions, and therefore a candidate for a latent Salmonella typhimurium vaccine. However, wet lab studies and further investigations are required to confirm the results.
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Affiliation(s)
- Samavia Zafar
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
| | - Huma Ajab
- Department of Chemistry, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan
| | | | - Jawaid Ahmed zai
- Department of Physiology, University of Sindh Jamshoro, Pakistan
| | - Sofia Baig
- Institute of Environmental Sciences and Engineering (IESE), National University of Sciences and Technology, Islamabad, Pakistan
| | - Ayesha Baig
- Department of Biotechnology, COMSATS University Islamabad, Abbottabad Campus Abbottabad, Pakistan
| | - Zeshan Habib
- Livestock Production Research Institute (LPRI) Bahadurnagar, Okara, Livestock & Dairy Development Department, Punjab, Pakistan
| | - Farrukh Jamil
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
| | - Muhammad Ibrahim
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
| | - Sumaira Kanwal
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
| | - Muhammad Asif Rasheed
- Department of Biosciences, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan
- Corresponding author.
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