CAI Value Research Articles

Reverse Vaccinology Integrated with Biophysics Techniques for Designing a Peptide-Based Subunit Vaccine for Bourbon Virus.

Despite the seriousness of the disease carried by ticks, little is known about the Bourbon virus. Only three US states have recorded human cases of Bourbon virus (BRBV) infection; in all cases, a tick bite was connected with the onset of the illness. The Bourbon virus (BRBV) belongs to the Orthomyxoviridae family and Thogotovirus genus, originating in the states of the US, i.e., Kansas, Oklahoma and Missouri. The growing rates of BRBV infections in various parts of the US highlight the necessity for a thorough analysis of the virus's transmission mechanisms, vector types and reservoir hosts. Currently, there are no vaccines or efficient antiviral therapies to stop these infections. It is imperative to produce a vaccination that is both affordable and thermodynamically stable to reduce the likelihood of future pandemics. Various computational techniques and reverse vaccinology methodologies were employed to identify specific B- and T-cell epitopes. After thorough examination, the linker proteins connected the B- and T-cell epitopes, resulting in this painstakingly constructed vaccine candidate. Furthermore, 3D modeling directed the vaccine construct toward molecular docking to determine its binding affinity and interaction with TLR-4. Human beta-defensin was used as an adjuvant and linked to the N-terminus to boost immunogenicity. Furthermore, the C-IMMSIM simulation resulted in high immunogenic activities, with activation of high interferon, interleukins and immunoglobulin. The results of the in silico cloning process for E. coli indicated that the vaccine construct will try its utmost to express itself in the host, with a codon adaptation CAI value of 0.94. A net binding free energy of -677.7 kcal/mol obtained during docking showed that the vaccine has a high binding affinity for immunological receptors. Further validation was achieved via molecular dynamic simulations, inferring the confirmational changes during certain time intervals, but the vaccine remained intact to the binding site for a 100 ns interval. The thermostability determined using an RMSF score predicted certain changes in the mechanistic insights of the loop region with carbon alpha deviations, but no major changes were observed during the simulations. Thus, the results obtained highlight a major concern for researchers to further validate the vaccine's efficacy using in vitro and in vivo approaches.

Targeting Polyprotein to Design Potential Multiepitope Vaccine against Omsk Hemorrhagic Fever Virus (OHFV) by Evaluating Allergenicity, Antigenicity, and Toxicity Using Immunoinformatic Approaches.

Omsk Hemorrhagic Fever Virus (OHFV) is an RNA virus with a single-stranded, positive-sense genome. It is classified under the Flaviviridae family. The genome of this virus is 98% similar to the Alkhurma hemorrhagic fever virus (AHFV), which belongs to the same family. Cases of the virus have been reported in various regions of Saudi Arabia. Both OHFV and AHFV have similarities in pathogenic polyprotein targets. No effective and licensed vaccines are available to manage OHFV infections. Therefore, an effective and safe vaccine is required that can activate protective immunity against OHFV. The current study aimed to design a multiepitope subunit vaccine against the OHFV utilizing several immunoinformatic tools. The polyprotein of OHFV was selected and potent antigenic, non-allergenic, and nontoxic cytotoxic T-lymphocyte (CTL), helper T-lymphocyte (HTL), and linear B-lymphocyte (LBL) epitopes were chosen. After screening, eight (8) CTL, five (5) HTL, and six (6) B cell epitopes were joined with each other using different linkers. Adjuvant human beta defensin-2 was also linked to the epitopes to increase vaccine antigenic and immunogenic efficiency. The designed vaccine was docked with Toll-like receptor 4 (TLR4) as it activates and induces primary and secondary immune responses against OHFV. Codon optimization was carried out, which resulted in a CAI value of 0.99 and 53.4% GC contents. In addition, the construct was blindly docked to the TLR4 immune receptor and subjected to conformational dynamics simulation analysis to interpret the intricate affinity and comprehend the time-dependent behavior. Moreover, it was predicted that immune responses to the developed vaccine construct reported formation of strong humoral and cellular immune cells. Therefore, the proposed vaccine may be considered in experimental assays to combat OHFV infections. Laboratory experiments for the above predictions are essential in order to evaluate the effectiveness, safety, and protective properties of the subject in question.

In silico design of multi-epitope vaccines against the hantaviruses by integrated structural vaccinology and molecular modeling approaches.

Hantaviruses are single-stranded RNA viruses belonging to the family Bunyaviridae that causes hantavirus cardiopulmonary syndrome (HCPS) and hemorrhagic fever with renal syndrome (HFRS) worldwide. Currently, there is no effective vaccination or therapy available for the treatment of hantavirus, hence there is a dire need for research to formulate therapeutics for the disease. Computational vaccine designing is currently a highly accurate, time and cost-effective approach for designing effective vaccines against different diseases. In the current study, we shortlisted highly antigenic proteins i.e., envelope, and nucleoprotein from the proteome of hantavirus and subjected to the selection of highly antigenic epitopes to design of next-generation multi-epitope vaccine constructs. A highly antigenic and stable adjuvant was attached to the immune epitopes (T-cell, B-cell, and HTL) to design Env-Vac, NP-Vac, and Com-Vac constructs, which exhibit stronger antigenic, non-allergenic, and favorable physiochemical properties. Moreover, the 3D structures were predicted and docking analysis revealed robust interactions with the human Toll-like receptor 3 (TLR3) to initiate the immune cascade. The total free energy calculated for Env-Vac, NP-Vac, and Com-Vac was -50.02 kcal/mol, -24.13 kcal/mol, and -62.30 kcal/mol, respectively. In silico cloning, results demonstrated a CAI value for the Env-Vac, NP-Vac, and Com-Vac of 0.957, 0.954, and 0.956, respectively, while their corresponding GC contents were 65.1%, 64.0%, and 63.6%. In addition, the immune simulation results from three doses of shots released significant levels of IgG, IgM, interleukins, and cytokines, as well as antigen clearance over time, after receiving the vaccine and two booster doses. Our vaccines against Hantavirus were found to be highly immunogenic, inducing a robust immune response that demands experimental validation for clinical usage.

Structural proteomics guided annotation of vaccine targets and designing of multi-epitopes vaccine to instigate adaptive immune response against Francisella tularensis

Francisella tularensis can cause severe disease in humans via the respiratory or cutaneous routes and a case fatality ratio of up to 10 % is reported due to lack of proper antibiotic treatment, while F. novicida causes disease in severely immunocompromised individuals. Efforts are needed to develop effective vaccine candidates against Francisella species. Thus, in this study, a systematic computational work frame was used to deeply investigate the whole proteome of Francisella novicida containing 1728 proteins to develop vaccine against F. tularensis and related species. Whole-proteome analysis revealed that four proteins including (A0Q492) (A0Q7Y4), (A0Q4N4), and (A0Q5D9) are the suitable vaccine targets after the removal of homologous, paralogous and prediction of subcellular localization. These proteins were used to predict the T cell, B cell, and HTL epitopes which were joined together through suitable linkers to construct a multi-epitopes vaccine (MEVC). The MEVC was found to be highly immunogenic and non-allergenic while the physiochemical properties revealed the feasible expression and purification. Moreover, the molecular interaction of MEVC with TLR2, molecular simulation, and binding free energy analyses further validated the immune potential of the construct. According to Jcat analysis, the refined sequence demonstrates GC contents of 41.48 % and a CAI value of 1. The in-silico cloning and optimization process ensured compatibility with host codon usage, thereby facilitating efficient expression. Computational immune simulation studies underscored the capacity of MEVC to induce both primary and secondary immune responses. The conservation analysis further revealed that the selected epitopes exhibit 100 % conservation across different species and thus provides wider protection against Francisella.

Harnessing Immunoinformatics for Precision Vaccines: Designing Epitope-Based Subunit Vaccines against Hepatitis E Virus

Background/Objectives: Hepatitis E virus (HEV) is an RNA virus recognized to be spread mainly by fecal-contaminated water. Its infection is known to be a serious threat to public health globally, mostly in developing countries, in which Africa is one of the regions sternly affected. An African-based vaccine is necessary to actively prevent HEV infection. Methods: This study developed an in silico epitope-based subunit vaccine, incorporating CTL, HTL, and BL epitopes with suitable linkers and adjuvants. Results: The in silico-designed vaccine construct proved immunogenic, non-allergenic, and non-toxic and displayed appropriate physicochemical properties with high solubility. The 3D structure was modeled and subjected to protein docking with Toll-like receptors 2, 3, 4, 6, 8, and 9, which showed a stable binding efficacy, and the dynamics simulation indicated steady interaction. Furthermore, the immune simulation predicted that the designed vaccine would instigate immune responses when administered to humans. Lastly, using a codon adaptation for the E. coli K12 bacterium produced optimum GC content and a high CAI value, which was followed by in silico integration into a pET28 b (+) cloning vector. Conclusions: Generally, these results propose that the design of an epitope-based subunit vaccine can function as an outstanding preventive vaccine candidate against HEV, although validation techniques via in vitro and in vivo approaches are required to justify this statement.

Immunoinformatics Design of Multi-Epitope Peptide-Based Vaccine Against Cyprinid Herpesvirus-3 (CyHV-3) Targeting Thymidine Kinase Proteins

The common carp Cyprinus carpio is a freshwater teleost and is among the most economically significant fishes in aquaculture throughout the world. Taxonomically, C. carpio are a complex of species including subspecies Cyprinus carpio carpio. C. carpio are now threatened by Cyprinid Herpesvirus-3 (CyHV-3), the causative agent of Koi Herpesvirus Disease (KHVD), which causes severe morbidity and mortality in ornamental koi and common carp and can infect or be transmitted by other species. Despite these devastating circumstances, effective vaccinations or other medications for the control of KHVD are not readily available. For this reason, the aim of the current study was to formulate a multi-epitope vaccine against Cyprinid Herpesvirus-3 (CyHV-3) using an immunoinformatics approach. To assess the immunodominant T- and B-cell epitopes, the CyHV-3 proteomes were employed. Following a thorough evaluation, we constructed a strategy for vaccination employing four possible epitopes selected from among each of the three relevant epitope groups: cytotoxic T-lymphocyte, helper T-lymphocyte and linear B-lymphocyte. Important qualities used in the evaluation of the resultant vaccine are that it will be highly soluble, antigenic, immunogenic and non-allergenic. Among acceptable physicochemical qualities, the anticipated structure of the vaccine bears a close resemblance to that of the original protein. Additional considerations include a robust and sustained predicted binding between the vaccine and the Toll-Like Receptor (TLR9). Simulations of molecular dynamics confirm the likelihood of a strong binding stability and structural tightness. Moreover, the computer-generated immunological simulation revealed that the vaccine, when administered to fish, should induce immune responses comparable to those in real life. Finally, codon optimization based on Escherichia coli K12 produced favorable indications of GC content and acceptably high CAI value, as applicable to the cloning vector pET28+ (a). Overall, these results show that the proposed peptide vaccine is a promising option for CyHV-3 prophylaxis.

Immunoinformatics-Based Designing of Novel and Potent Multi-Epitope PSA D15 and Cag11 Immunogens for Helicobacter pylori Immunodiagnostic Assay Development.

Helicobacter pylori (H. pylori) strain is the most genetically diverse pathogenic bacterium and now alarming serious human health concern ranging from chronic gastritis to gastric cancer and human death all over the world. Currently, the majority of commercially available diagnostic assays for H. pylori is a challenging task due to the heterogeneity of virulence factors in various geographical regions. In this concern, designing of universal multi-epitope immunogenic biomarker targeted for all H. pylori strains would be crucial to successfully immunodiagnosis assay and vaccine development for H. pylori infection. Hence, the present study aimed to explore the potential immunogenic epitopes of PSA D15 and Cag11 proteins of H. pylori, using immunoinformatics web tools in order to design novel immune-reactive multi-epitope antigens for enhanced immunodiagnosis in humans. Through an in silico immunoinformatics approach, high-ranked B-cell, MHC-I, and MHC-II epitopes of PSA D15 and Cag11 proteins were predicted, screened, and selected. Subsequently, a novel multi-epitope PSA D15 and Cag11 antigens were designed by fused the high-ranked B-cell, MHC-I, and MHC-II epitopes and 50S ribosomal protein L7/L12 adjuvant using linkers. The antigenicity, solubility, physicochemical properties, secondary and tertiary structures, 3D model refinement, and validations were carried. Furthermore, the designed multi-epitope antigens were subjected to codon adaptation and in silico cloning, immune response simulation, and molecular docking with receptor molecules. A novel, stable multi-epitope PSA D15 and Cag11 H. pylori antigens were developed and immune simulation of the designed antigens showed desirable levels of immunological response. Molecular docking of designed antigens with immune receptors (B-cell, MHC-I, MHC-II, and TLR-2/4) revealed robust interactions and stable binding affinity to the receptors. The codon optimized and in silico cloned showed that the designed antigens were successfully expressed (CAI value of 0.95 for PSA D15 and 1.0 for Cag11) after inserted into pET-32ba (+) plasmid of the E. coli K12 strain. In conclusion, this study revealed that the designed multi-epitope antigens have a huge immunological potential candidate biomarker and useful in developing immunodiagnostic assays and vaccines for H. pylori infection.

Multiepitope subunit vaccine against Colorado tick fever virus by using reverse vaccinology approach

Despite being a medically significant tick-borne virus, little research has been done on the Colorado tick fever virus. This virus is a member of the Spinareoviridae family and is mainly spread in the western parts of the United States and southwest Canada. It is classified as a Coltivirus. The main vector of the virus, Dermacentor andersoni, a wood tick found in the Rocky Mountains, determines patterns of viral spread. Furthermore, no effective antiviral treatment or vaccine has yet been created to guard against viral infections. An alternate method of preventing viral infections is vaccination. To stop a potential pandemic in the future, a thermodynamically stable and economical vaccination should be discovered. The goal of this study was to develop a potential vaccine against the Colorado tick fever virus. We seek to identify epitopes within two critical proteins, the Colorado tick fever virus's structural protein VP9 and the RNA-directed RNA polymerase VP1, to predict the precise locations that B and T cells will recognize by using a variety of reverse vaccinology and Computational techniques. Through modelling, the epitopes were deliberately engineered to connect with their corresponding HLA molecules, serving as the foundation for a multi-epitope subunit vaccination. This meticulously crafted vaccination candidate was created by joining B and T cell epitopes that had been extensively examined and linked with the appropriate linkers. Numerous physiological characteristics, including molecular weight, instability index, and aliphatic index, were assessed for the vaccine model, it was 3D modelled to dock with TLR-4. Previous research suggested that adding human beta-defensin as an adjuvant to the vaccine sequence at the N-terminus might improve immunogenicity. Additionally, the C-IMMSIM server ran immunological simulations to confirm the final vaccine design. The immunological simulation analysis anticipated a natural immune response. E. coli was used as the host for in-silico cloning, and the 0.96 CAI value obtained indicates that the vaccine construct will express itself to its fullest extent in the E. coli host. The binding mode of vaccine construct has been investigated via molecular docking approach against TLR4 human receptor protein. Vaccine created in this study shown efficacious and immunogenic response during immune simulation. Furthermore, this was more accurately validated through molecular dynamic simulations where the receptor molecule strongly bonds to the active residues of the epitope during 200 ns simulation time intervals. No certain changes were inferred among both receptor molecules and epitope during this time interval and remains static. Thus, these investigations result in determining the effectiveness in treating infections caused by the Colorado tick fever virus, which will allow experimentalists for its further validation to tackle this disease.

Whole proteome screening to develop a potent epitope-based vaccine against Coxiella burnetii: a reverse vaccinology approach

Coxiellosis is known as a threat to human health. This study aimed to develop an epitope-based vaccine against coxiellosis using a whole proteome investigation. In this case, the whole proteome of Coxiella burnetii was collected from the database, then different assessments were performed to select immunogenic proteins. The selected proteins were used for epitopes prediction. The epitope-based vaccine was made using the best-selected epitopes and HBHA protein. The physical and chemical features, as well as secondary and tertiary structures of the developed vaccine were analyzed. The interaction between the developed vaccine and TLR4/MD2 receptor was examined using molecular docking and molecular dynamic simulation. Finally, in silico cloning, codon optimization, and immune response simulation for the developed vaccine were performed. The findings supported a stable, hydrophilic, antigenic and non-allergenic vaccine with a molecular weight equal to 59.261 kDa and 542 amino acid residues in length. The findings showed that the developed vaccine not only could dock to TRL4/MD2 receptor with an affinity of −20.9 kcal/mol and 15 hydrogen bonds, but also the protein-protein complex was stable during molecular dynamic simulation with the binding free energy of −57.9 ± 6.9 kcal/mol. Furthermore, the optimized sequence of the developed vaccine with a CAI value of 0.97, could be cloned into the pET-21a (+) vector. Finally, The results confirmed that the developed vaccine could strongly trigger primary and secondary immune responses. Evidently, the developed vaccine can be an interesting candidate to apply. Communicated by Ramaswamy H. Sarma

Designing of a multiepitope-based chimeric vaccine against dengue virus serotype 3 (DENV-3) through next generation reverse vaccinology approaches

The dengue virus (DENV) causes dengue infection and has become a significant global public health concern. The successful application of immunotherapies in treating dengue infection has paved the way for developing various treatment strategies. Among these strategies, the multiepitope vaccine has emerged as a promising approach. We applied an in silico immune-informatics approach to develop a multiepitope vaccine including MHC-I, MHC-II, and B cell epitopes of the NS1, E, and M proteins. The vaccine was found to be a structurally stable protein (Z score = −4.71), indicating its effectiveness. High affinity was shown by molecular docking studies between the vaccine and human receptors (toll-like receptor 2 and toll-like receptor 4). Following codon optimization and in silico cloning, the vaccine was successfully expressed (CAI value of 0.9588) after being inserted into the pET-30a (+) plasmid of the E. coli K12 strain. However, the vaccine's potential to elicit immunological responses (such as B cell, T cell, antibody, and cytokine responses) against the dengue virus serotype 3 (DENV-3) has been established through immune simulation. The majority of existing dengue vaccines have shown little efficacy in the management of dengue infection. Furthermore, there is currently no licenced multiepitope vaccine for dengue virus serotype 3 (DENV-3) that encompasses all three significant proteins. Consequently, our proposed vaccine has the potential to be an effective weapon in combating dengue infection. Further studies should be conducted to evaluate the safety, effectiveness, and potential adverse effects of this multiepitope vaccine in human subjects to facilitate its further development.

Exploring structural antigens of yellow fever virus to design multi-epitope subunit vaccine candidate by utilizing an immuno-informatics approach

BackgroundYellow fever is a mosquito-borne viral hemorrhagic disease transmitted by several species of virus-infected mosquitoes endemic to tropical regions of Central and South America and Africa. Earlier in the twentieth century, mass vaccination integrated with mosquito control was implemented to eradicate the yellow fever virus. However, regular outbreaks occur in these regions which pose a threat to travelers and residents of Africa and South America. There is no specific antiviral therapy, but there can be an effective peptide-based vaccine candidate to combat infection caused by the virus. Therefore, the study aims to design a multi-epitope-based subunit vaccine (MESV) construct against the yellow fever virus to reduce the time and cost using reverse vaccinology (RV) approach. MethodsYellow fever virus contains 10,233 nucleotides that encode for 10 proteins (C, prM, E, NS1, NS2A, NS2B, NS3, NS4A, NS4B, and NS5) including 3 structural and 7 non-structural proteins. Structural proteins—precursor membrane protein (prM) and envelope protein (E)—were taken as a target for B cell and T cell epitope screening. Further, various immunoinformatics approaches were employed to FASTA sequences of structural proteins to retrieve B cell and T cell epitopes. MESV was constructed from these epitopes based on allergenicity, antigenicity and immunogenicity, toxicity, conservancy, and population coverage followed by structure prediction. The efficacy of the MESV construct to bind with human TLR-3, TLR-4, and TLR-8 were evaluated using molecular docking and simulation studies. Finally, in-silico cloning of vaccine construct was performed withpBR322 Escherichia coli expression system using codon optimization. ResultsPredicted epitopes evaluated and selected for MESV construction were found stable, non-allergenic, highly antigenic, and global population coverage of 68.03% according to in-silico analysis. However, this can be further tested in in-vitro and in-vivo investigations. Epitopes were sequentially merged to construct a MESV consisting of 393 amino acids using adjuvant and linkers. Molecular docking and simulation studies revealed stable and high-affinity interactions. Furthermore, in-silico immune response graphs showed effective immune response generation. Finally, higher CAI value ensured high gene expression of vaccine in the host cell. ConclusionThe designed MESV construct in the present in-silico study can be effective in generating an immune response against the yellow fever virus. Therefore, to prevent yellow fever, it can be an effective vaccine candidate. However, further downstream, in-vitro study is required.

Chimeric vaccine design against the epidemic Langya Henipavirus using immunoinformatics and validation via immune simulation approaches

In July 2022, a new virus called Langya virus (LayV) was discovered in China in patients who had a fever. This virus is a type of Henipavirus (HNV) and is considered a potential threat as it could spread from animals to humans. It causes respiratory disease with symptoms including fever, coughing, and fatigue and is closely linked to two other henipaviruses that are known to infect humans, namely Hendra and Nipah viruses. These viruses may cause fatal respiratory illnesses. Investigators believe that the LayV is spread by shrews, and may have infected humans directly or via an intermediary species. Thus, the use of vaccines or immunizations against LayV is an alternate strategy for disease prevention. In this study, we employed various immunoinformatics methods to predict B cell, HTL and T cell epitopes from the LayV proteome in order to find the most promising candidate for a LayV vaccine. The most potent epitopes that are immunogenic and non-allergenic were joined with each other through suitable linkers. Human β-defensin 2 was employed as an adjuvant to increase the immunogenicity of the vaccine construct. The final sequence of a multi-epitope vaccine construct was modelled for docking with TLRs. Concisely, our results suggest that the docked complexes of vaccine-TLRs seemed to be stable. Additionally, in silico cloning was done using E. coli as the host in order to validate the expression of our designed vaccine construct. The GC content of 54.39% and CAI value of 0.94 revealed that the vaccine component expresses efficiently in the host. This study presents the novel vaccine construct for LayV which will be essential for further experimental validations to confirm the immunogenicity and safety of the proposed vaccine structure, and eventually to treat HNV-related diseases.

Immunoinformatic based designing of potential immunogenic novel mRNA and peptide-based prophylactic vaccines against H5N1 and H7N9 avian influenza viruses

Influenza viruses are the most common cause of serious respiratory illnesses worldwide and are responsible for a significant number of annual fatalities. Therefore, it is crucial to look for new immunogenic sites that might trigger an effective immune response. In the present study, bioinformatics tools were used to design mRNA and multiepitope-based vaccines against H5N1 and H7N9 subtypes of avian influenza viruses. Several Immunoinformatic tools were employed to extrapolate T and B lymphocyte epitopes of HA and NA proteins of both subtypes. The molecular docking approach was used to dock the selected HTL and CTL epitopes with the corresponding MHC molecules. Eight (8) CTL, four (4) HTL, and Six (6) linear B cell epitopes were chosen for the structural arrangement of mRNA and of peptide-based prophylactic vaccine designs. Different physicochemical characteristics of the selected epitopes fitted with suitable linkers were analyzed. High antigenic, non-toxic, and non-allergenic features of the designed vaccines were noted at a neutral physiological pH. Codon optimization tool was used to check the GC content and CAI value of constructed MEVC-Flu vaccine, which were recorded to be 50.42% and 0.97 respectively. the GC content and CAI value verify the stable expression of vaccine in pET28a + vector. In-silico immunological simulation the MEVC-Flu vaccine construct revealed a high level of immune responses. The molecular dynamics simulation and docking results confirmed the stable interaction of TLR-8 and MEVC-Flu vaccine. Based on these parameters, vaccine constructs can be regarded as an optimistic choice against H5N1 and H7N9 strains of the influenza virus. Further experimental testing of these prophylactic vaccine designs against pathogenic avian influenza strains may clarify their safety and efficacy. Communicated by Ramaswamy H. Sarma

An in silico reverse vaccinology approach to design a novel multiepitope peptide vaccine for non-small cell lung cancers

Non-small cell lung cancer (NSCLC) is the most prevalent and fatal lung cancer. The multiepitope vaccine is one of the immunotherapies successfully applied to treat NSCLC. We designed a multiepitope vaccine with MHC-I, MHC-II, CTL, and linear B cell epitopes of MAGE-A3, EGF, and MUC-1 oncoproteins employing in silico immunoinformatics approach. The structural assessment of the vaccine showed it as a well-stable protein (Z score of −7.53). The molecular docking between the vaccine and human receptors (TLR-2, TLR-4, MHC-I and MHC-II alleles) implied a high affinity of the vaccine to the receptors. The codon optimization and in silico cloning of the vaccine into the pET-28a (+) plasmid of the E. coli K12 strain revealed its potentiality upon expression (CAI value of 0.9607). Furthermore, immune simulation of the vaccine depicted its ability to stimulate immune responses (B cell, T cell, antibody, and cytokines) against NSCLC. Almost all developed NSCLC vaccines cannot treat or prevent NSCLC satisfactorily, and there is still no multiepitope vaccine available that contains all three significant oncoproteins; therefore, our designed vaccine could be a significant weapon against NSCLC. This novel multiepitope vaccine could be developed upon considering its safety, efficacy, and adverse effects on humans through further studies.

Design and Cloning of Gene Encoding SLPI C-Terminal Domain in Escherichia coli TOP10

Elevated levels of neutrophil elastase in CPOD (Chronic Obstructive Pulmonary Disease) airways are regarded as the main trigger of lung destruction and inflammation. SLPI (Secretory leukocyte protease inhibitor), an inhibitor protease, represents an attractive candidate for treatment in chronic lung diseases due to proteases excess. The antiprotease active site of SLPI has been located on the C-terminal domain. This study aimed to design and clone the gene encoding the C-terminal domain of SLPI (SLPIc). The gene encoding SLPIc was optimized and predicted solubility using OptimumGene™ and SoDoPe software. The nucleotide sequence of the optimized SLPIc was synthesized, inserted into the pGEX 4T-2 vector commercially by Genscript, and transformed into the Escherichia coli TOP10. The pGEX 4T-2 vector contains a glutathione S transferase (GST) gene located before the MCS to generate a recombinant protein for fusion with GST. For purification purposes, the His-tag synthesized together with SLPIc. The optimized SLPIc nucleotide sequence gave a CAI value of 0.81, GC content 52.31, and a CFD of 2%. The solubility probability of SLPI fused with GST increased from 0.124 to 0.4656. Confirmation of the transformant using restriction and sequencing analysis showed that the gene encoding of SLPI domain C-terminal optimized in the pGEX 4T-2 plasmid was successfully transformed into E. coli TOP10 as novelty of this study. The optimized SLPIc gene in pGEX 4T-2 has a high probability of being expressed in E. coli based on in-silico analysis.

Bioinformatics analysis of structural protein to approach a vaccine candidate against Vibrio cholerae infection.

The bacteria Vibrio cholerae causes cholera, an acute diarrheal infection that can lead to dehydration and even death. Over 100,000 people die each year as a result of epidemic diseases; vaccination has emerged as a successful strategy for combating cholera. This study uses bioinformatics tools to create a multi-epitope vaccine against cholera infection using five structural polyproteins from the V. cholerae (CTB, TCPA, TCPF, OMPU, and OMPW). The antigenic retrieved protein sequence were analyzed usingBCPred and IEDB bioinformatics tools to predict B cell and T cell epitopes, respectively, which were then linked with flexible linkers together with an adjuvant to boost it immunogenicity. The construct has a theoretical PI of 6.09, a molecular weight of 53.85kDa, and an estimated half-life for mammalian reticulocytes in vitro of 4.4h. These resultsdemonstrate the construct's longevity. The vaccine design was docked against the human toll-like receptor (TLR) to evaluate compatibility and effectiveness; also otheradditional post-vaccination assessments were carried out on the designed vaccine. Through in silico cloning, its expression was determined. The results show that it has a CAI value of 0.1 and GC contents of 58.97% whichestablished theadequate expression and downstream processing of the vaccine construct, and our research demonstrated that the multi-epitope subunit vaccine exhibits antigenic characteristics. Additionally, we carried out an in silico immunological simulation to examine the immune reaction to an injection. Our results strongly suggest that the vaccine candidate on further validation would induce immune response against the V. cholerae infection.

In Silico-Based Vaccine Design Against Hepatopancreatic Microsporidiosis in Shrimp

Enterocytozoon hepatopenaei (EHP) is a spore-forming intracellular parasite that produces an economically devastating disease in farmed shrimp called hepatopancreatic microsporidiosis (HPM), known to slow the growth of hosts in aquaculture. Spore wall proteins are implicated in the recognition of host cells in microsporidia. Many parasites have been demonstrated to detect heparin, a glycosaminoglycan (GAG) molecule present on cell surfaces, as a host. The sequencing and characterization of several EHP strains started to reveal information regarding pathogen biology, pathogenicity, and spore wall proteins must bind to the shrimp cell surface to infect it, and failure to do so results in ineffective infection. Despite these devastating complications, there is still no cure or vaccine for the parasites. In this regard, an immunoinformatics method was used to generate an epitope-based vaccine against this pathogen. The immunodominant T-cell and B-cell epitopes were identified using the spore wall proteins of EHP. The final constructed vaccine sequence was developed to be immunogenic, non-allergenic as well as have better solubility. Molecular dynamics simulation revealed significant binding stability and structural compactness. Finally, using Escherichia coli K12 as a model, codon optimization yielded ideal GC content and a higher CAI value, which was then included in the cloning vector pET2+ (a). Altogether, our outcomes imply that the proposed peptide vaccine may be a good option for HPM prophylaxis. HIGHLIGHTS Hepatopancreatic microsporidiosis (HPM) is known to slow the growth of shrimp There are approved drugs or vaccines to control this disease In-silico approach and immunoinformatics has some advantage previously in fishes The design vaccine candidate would have some advantages to combat the disease for sustainable shrimp production GRAPHICAL ABSTRACT

Core Proteomics and Immunoinformatic Approaches to Design a Multiepitope Reverse Vaccine Candidate against Chagas Disease.

Chagas disease is a tropical ailment indigenous to South America and caused by the protozoan parasite Trypanosoma cruzi, which has serious health consequences globally. Insect vectors transmit the parasite and, due to the lack of vaccine availability and limited treatment options, we implemented an integrated core proteomics analysis to design a reverse vaccine candidate based on immune epitopes for disease control. Firstly, T. cruzi core proteomics was used to identify immunodominant epitopes. Therefore, we designed the vaccine sequence to be non-allergic, antigenic, immunogenic, and to have better solubility. After predicting the tertiary structure, docking and molecular dynamics simulation (MDS) were performed with TLR4, MHC-I, and MHC-II receptors to discover the binding affinities. The final vaccine design demonstrated significant hydrogen bond interactions upon docking with TLR4, MHC-I, and MHC-II receptors. This indicated the efficacy of the vaccine candidate. A server-based immune simulation approach was generated to predict the efficacy. Significant structural compactness and binding stability were found based on MDS. Finally, by optimizing codons on Escherichia coli K12, a high GC content and CAI value were obtained, which were then incorporated into the cloning vector pET2+ (a). Thus, the developed vaccine sequence may be a viable therapy option for Chagas disease.

Designing mRNA- and Peptide-Based Vaccine Construct against Emerging Multidrug-Resistant Citrobacter freundii: A Computational-Based Subtractive Proteomics Approach.

Background and Objectives: Citrobacter freundii (C. freundii) is an emerging and opportunistic Gram-negative bacteria of the human gastrointestinal tract associated with nosocomial and severe respiratory tract infections. It has also been associated with pneumonia, bloodstream, and urinary tract infections. Intrinsic and adaptive virulence characteristics of C. freundii have become a significant source of diarrheal infections and food poisoning among immune-compromised patients and newborns. Impulsive usage of antibiotics and these adaptive virulence characteristics has modulated the C. freundii into multidrug-resistant (MDR) bacteria. Conventional approaches are futile against MDR C. freundii. Materials and Methods: The current study exploits the modern computational-based vaccine design approach to treat infections related to MDR C. freundii. A whole proteome of C. freundii (strain: CWH001) was retrieved to screen pathogenic and nonhomologous proteins. Six proteins were shortlisted for the selection of putative epitopes for vaccine construct. Highly antigenic, nonallergen, and nontoxic eleven B-cell, HTL, and TCL epitopes were selected for mRNA- and peptide-based multi-epitope vaccine construct. Secondary and tertiary structures of the multi-epitope vaccine (MEVC) were designed, refined, and validated. Results: Evaluation of population coverage of MHC-I and MHC-II alleles were 72% and 90%, respectively. Docking MEVC with TLR-3 receptor with the binding affinity of 21.46 (kcal/mol) occurred through the mmGBSA process. Further validations include codon optimization with an enhanced CAI value of 0.95 and GC content of about 51%. Immune stimulation and molecular dynamic simulation ensure the antibody production upon antigen interaction with the host and stability of the MEVC construct, respectively. Conclusions: These interpretations propose a new strategy to combat MDR C. freundii. Further, in vivo and in vitro trials of this vaccine will be valuable in combating MDR pathogens.

Application of reverse vaccinology to design a multi-epitope subunit vaccine against a new strain of Aeromonas veronii

BackgroundAeromonas veronii is one of the most common pathogens of freshwater fishes that cause sepsis and ulcers. There are increasing numbers of cases showing that it is a significant zoonotic and aquatic agent. Epidemiological studies have shown that A. veronii virulence and drug tolerance have both increased over the last few years as a result of epidemiological investigations. Cadaverine reverse transporter (CadB) and maltoporin (LamB protein) contribute to the virulence of A. veronii TH0426. TH0426 strain is currently showing severe cases on fish species, and its resistance against therapeutic has been increasing. Despite these devastating complications, there is still no effective cure or vaccine for this strain of A.veronii. ResultsIn this regard, an immunoinformatic method was used to generate an epitope-based vaccine against this pathogen. The immunodominant epitopes were identified using the CadB and LamB protein of A. veronii. The final constructed vaccine sequence was developed to be immunogenic, non-allergenic as well as have better solubility. Molecular dynamic simulation revealed significant binding stability and structural compactness. Finally, using Escherichia coli K12 as a model, codon optimization yielded ideal GC content and a higher CAI value, which was then included in the cloning vector pET2+ (a). ConclusionAltogether, our outcomes imply that the proposed peptide vaccine might be a good option for A. veronii TH0426 prophylaxis.