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At least 19 recordsLinked to original sources
PubMed2005

Reverse vaccinology and vaccines for serogroup B Neisseria meningitidis.

Whole genome sequence data are increasingly available for a wide range of human pathogens. The use of bioinformatic tools allows the comprehensive in silico screening of genome data for surface-expressed proteins, in order to identify candidate vaccine antigens. In vitro confirmation of surface location and the use of animal models to test immunogenicity further refine the list of proteins likely to be of use as vaccine antigens. This process, first applied to serogroup B Neisseria meningitidis, has been termed as reverse vaccinology. Reverse vaccinology offers the ability to undertake a rapid and comprehensive assessment of a micro-organism's surface protein repertoire, and has advantages over conventional approaches to identifying candidate antigens. Despite the advantages of the approach, development in conventional areas of vaccinology remains important to support the process of producing vaccines from genome-derived antigens.

Antigens, Bacterial↗
PubMed2006

NERVE: new enhanced reverse vaccinology environment.

BACKGROUND: Since a milestone work on Neisseria meningitidis B, Reverse Vaccinology has strongly enhanced the identification of vaccine candidates by replacing several experimental tasks using in silico prediction steps. These steps have allowed scientists to face the selection of antigens from the predicted proteome of pathogens, for which cell culture is difficult or impossible, saving time and money. However, this good example of bioinformatics-driven immunology can be further developed by improving in silico steps and implementing biologist-friendly tools. RESULTS: We introduce NERVE (New Enhanced Reverse Vaccinology Environment), an user-friendly software environment for the in silico identification of the best vaccine candidates from whole proteomes of bacterial pathogens. The software integrates multiple robust and well-known algorithms for protein analysis and comparison. Vaccine candidates are ranked and presented in a html table showing relevant information and links to corresponding primary data. Information concerning all proteins of the analyzed proteome is not deleted along selection steps but rather flows into an SQL database for further mining and analyses. CONCLUSION: After learning from recent years' works in this field and analysing a large dataset, NERVE has been implemented and tuned as the first available tool able to rank a restricted pool (approximately 8-9% of the whole proteome) of vaccine candidates and to show high recall (approximately 75-80%) of known protective antigens. These vaccine candidates are required to be "safe" (taking into account autoimmunity risk) and "easy" for further experimental, high-throughput screening (avoiding possibly not soluble antigens). NERVE is expected to help save time and money in vaccine design and is available as an additional file with this manuscript; updated versions will be available at http://www.bio.unipd.it/molbinfo.

Algorithms↗
PubMed2001

Reverse vaccinology, a genome-based approach to vaccine development.

The conventional approach to vaccine development requires cultivation of the pathogenic microorganism and its dissection using biochemical, immunological, and microbiological methods in order to identify the components important for immunity. This method, while successful in many cases, failed to provide a solution for many of those pathogens for which a vaccine is not yet available. Today, the possibility of using genomic information allows us to study vaccine development in silico, without the need of cultivating the pathogen. This approach, which we have named 'reverse vaccinology', reduces the time required for the identification of candidate vaccines and provides new solutions for those vaccines which have been difficult or impossible to develop. The potential of this new approach is illustrated by the use of reverse vaccinology for the development of a vaccine against serogroup B meningococcus. The application of reverse vaccinology to other fields, including viral vaccines is discussed.

Drug Design↗
PubMed2003

Reverse vaccinology.

Whole-genome sequencing of bacteria and advances in bioinformatics have revolutionized the vaccinology field, leading to the identification of potential vaccine candidates without the need for cultivating the pathogen. This approach, termed "reverse vaccinology", reduces the time and cost required for the identification of candidate vaccines and provides new solutions for those diseases for which conventional approaches have failed. The first example of the potential of reverse vaccinology has been the identification of novel antigens of meningococcus B as potential candidates for a novel and effective vaccine. The same approach has been successfully applied to other important human pathogens, demonstrating the feasibility to develop vaccines against any infectious disease. This review focuses on some recent advances in the identification of vaccine candidates by mining the genomic sequences of pathogenic bacteria.

Animals↗
PubMed2003

Two years into reverse vaccinology.

During the last century, several approaches have been used for the development of vaccines, going from the immunization with live-attenuated bacteria up to the formulation of the safer subunit vaccines. This conventional approach to vaccine development requires cultivation of the pathogen and its dissection using biochemical, immunological and microbiological methods. Although successful in several cases, this method is time-consuming and failed to provide a solution for many human pathogens. Now genomic approaches allow for the design of vaccines starting from the prediction of all antigens in silico, independently of their abundance and without the need to grow the microorganism in vitro. A new strategy, termed "Reverse Vaccinology", which has been successfully applied in the last few years, has revolutionized the approach to vaccine research. The Neisseria meningitidis serogroup B project, the first example of Reverse Vaccinology, as well as the application of this strategy to develop novel vaccines against other human pathogens are discussed.

Bacterial Vaccines↗
PubMed2000

Reverse vaccinology.

Biochemical, serological and microbiological methods have been used to dissect pathogens and identify the components useful for vaccine development. Although successful in many cases, this approach is time-consuming and fails when the pathogens cannot be cultivated in vitro, or when the most abundant antigens are variable in sequence. Now genomic approaches allow prediction of all antigens, independent of their abundance and immunogenicity during infection, without the need to grow the pathogen in vitro. This allows vaccine development using non-conventional antigens and exploiting non-conventional arms of the immune system. Many vaccines impossible to develop so far will become a reality. Since the process of vaccine discovery starts in silico using the genetic information rather than the pathogen itself, this novel process can be named reverse vaccinology.

BCG Vaccine↗
PubMed2002

Reverse vaccinology: a genome-based approach for vaccine development.

During the last century several approaches have been followed for the development of vaccines. These include live-attenuated viruses and bacteria, killed microorganisms and the subunit vaccines [1]. With the introduction of recombinant DNA technologies, new approaches have been exploited for vaccine manufacturing. However, the major problem remains the rapid identification of highly immunogenic and protective antigens suitable for vaccine development, which still relies on standard biochemical and microbiological techniques. The advent of genomics has greatly contributed to providing a new impulse to the microbial field. The complete genomic sequence of a human pathogen represents a new unexploited field, to be used for the design of novel vaccines and antimicrobial drugs. In the case of meningococcus B, four decades of continuous efforts, using conventional technologies of purifying antigens from the microorganism, had not been sufficient to deliver an effective and universal vaccine. It was therefore decided to obtain the genomic sequence of serogroup B Neisseria meningitidis (MenB) and use this information to identify vaccine candidates. This approach was named "reverse vaccinology"[2].

Animals↗
PubMed2026

Computational prediction of a multi-epitope Human Metapneumovirus vaccine candidate through integrated reverse vaccinology and pan-genomic approaches.

Human metapneumovirus (HMPV) is a primary cause of global respiratory infections yet no approved vaccine currently exists. This study computationally predicts a multi-epitope vaccine candidate using a diverse dataset of 65 HMPV sequences spanning five continents. Following the screening of lead proteins for antigenicity and virulence, fifteen highly conserved MHC-I, MHC-II and B-cell epitopes were prioritized. These were integrated with a putative L7/L12 adjuvant using optimized AAY, GPGPG, and KK linkers to design three constructs (HMPV_V1-V3). Structural validation identified HMPV-V2 as the lead candidate that exhibits a Z-score of-5.24 and 87.7% of residues in favored Ramachandran regions indicating excellent stereochemical quality and structural stability. In silico docking indicated a strong predicted binding affinity between HMPV-V2 and the TLR4 receptor (energy: -969.2). Immune simulations predicted a robust adaptive response characterized by high IgG1 titers, memory B-cell maturation, and a Th1-dominant cytokine profile. Furthermore, molecular dynamics simulations suggested exceptional structural integrity for HMPV-V2, maintaining a low RMSD of 8.213 and RMSF of 0.737 throughout the simulation. Optimized in silico cloning into the pET28a (+) vector indicated a high potential for protein expression in E. coli systems. While these findings provide a theoretically grounded blueprint for vaccine development, this study is entirely computational and lacks experimental validation. Further in vitro and in vivo testing is required to confirm the actual safety and immunogenicity of the proposed candidate.

Metapneumovirus↗
PubMed2006

Microbial genomes and vaccine design: refinements to the classical reverse vaccinology approach.

The advent of whole-genome sequencing of bacteria and advances in bioinformatics have revolutionized the study of bacterial pathogenesis, enabling the targeting of possible vaccine candidates starting from genomic information. Nowadays, the availability of hundreds of bacterial genomes enables identification of the genetic differences across several genomes from the same species. The unexpected degree of intra-species diversity suggests that a single genome sequence is not entirely representative and does not offer a complete picture of the genetic variability of a species. The practical consequence is that, in many cases, a universal vaccine is possible only by including a combination of antigens and this combination must take into account the pathogen population structure.

Animals↗
PubMed2006

Reverse vaccinology--in search of a genome-derived meningococcal vaccine.

Although significant advances have been made toward the control of bacterial meningitis in children with the development of capsular polysaccharide protein conjugate vaccines, this approach has proven problematic for the serogroup B meningococcus. Non-capsular vaccines based upon outer membrane vesicles of Neisseria meningitidis have been useful in control of clonal serogroup B outbreaks, although due to variability of PorA, these vaccines may be less useful in control of endemic disease. Genome-based vaccine discovery was evaluated in an attempt to produce a candidate capable of conferring a broadly protective vaccine against a diversity of meningococcal B strains.

Animals↗
PubMed2001

Conjugates and reverse vaccinology to eliminate bacterial meningitis.

Bacterial meningitis is caused mainly by Haemophilus influenzae, Streptococcus pneumoniae and Neisseria meningitidis. Haemophilus influenzae type b vaccines have been extremely successful in eradicating the disease from those countries where the vaccine has been introduced. The recent licensure of the conjugated pneumococcal vaccine suggests that this pathogen also will be soon controlled. Consequently, if we succeed in developing effective vaccines against meningococcus, this will enable us to eliminate bacterial meningitis. The global elimination of bacterial meningitis is a goal which, if appropriate resources are applied, can be reached within the first fifteen years of the 21st century.

Adult↗
PubMed2003

Reverse vaccinology and genomics.

The genomic revolution has had a dramatic effect on our ability to find new vaccine targets and develop effective vaccines.

Access to Information↗
PubMed2004

The genome revolution in vaccine research.

The conventional approach to vaccine development is based on dissection of the pathogen using biochemical, immunological and microbiological methods. Although successful in several cases, this approach has failed to provide a solution to prevent several major bacterial infections. The availability of complete genome sequences in combination with novel advanced technologies, such as bioinformatics, microarrays and proteomics, have revolutionized the approach to vaccine development and provided a new impulse to microbial research. The genomic revolution allows the design of vaccines starting from the prediction of all antigens in silico, independently of their abundance and without the need to grow the pathogen in vitro. This new genome-based approach, which we have named "Reverse Vaccinology", has been successfully applied for Neisseria meningitidis serogroup B for which conventional strategies have failed to provide an efficacious vaccine. The concept of "Reverse Vaccinology" can be easily applied to all the pathogens for which vaccines are not yet available and can be extended to parasites and viruses.

Bacterial Proteins↗
PubMed2026

Leptospira-host interactions: advancing next-generation vaccines and diagnostics.

SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in tropical and subtropical regions. Despite advances in understanding Leptospira biology and pathogenesis, effective disease control continues to be limited by the lack of rapid, early diagnostics, and broadly protective vaccines. This review comprehensively examines recent progress in deciphering Leptospira-host interactions, with emphasis on key virulence factors, immune-evasion mechanisms, and host immune responses that influence disease outcomes. Particular focus is placed on the molecular and cellular basis of adhesion, invasion, immune modulation, and persistent colonization. We further discuss the limitations of current vaccines and diagnostic approaches, and highlight how emerging technologies, including pan-genomics, proteomics, reverse vaccinology, immunoinformatics, and omics-based antigen discovery, are facilitating the development of next-generation vaccines and diagnostics. Finally, we outline major translational challenges and future perspectives for improving clinical management, surveillance, and prevention of leptospirosis. The concepts discussed in this review may also provide broader insights into vaccine and diagnostic development for other zoonotic bacterial infections.

Humans↗
PubMed2025

Multi-criteria decision making and its application to in silico discovery of vaccine candidates for Toxoplasma gondii.

Vaccine discovery against eukaryotic parasites is not trivial and few exist. Reverse vaccinology is an in silico vaccine discovery approach, designed to identify vaccine candidates from the thousands of protein sequences encoded by a target genome. Previously, we produced the Vacceed bioinformatics pipeline for identification of parasite membrane and excreted/secreted proteins that were likely be exposed to the hosts immune system. More recently, we improved upon machine learning as the final decision-making process to identify parasite proteins that induce a protective response in an animal model. Subsequently, we combined Vacceed with metrics on B and T cell epitope types to produce a new in silico discovery workflow. In this study we extend this in silico workflow to the developability of proteins as vaccines by the incorporation of metrics on the physicochemical properties of proteins. To demonstrate this process, every Toxoplasma gondii protein was ranked in its capacity to provide exposure to the immune system (Vacceed exposure score), presence of epitopes and solubility characteristics by several multicriteria decision making (MCDM) tools (such as TOPSIS, VIKOR and MABAC). A consensus rank was subsequently generated from the results of these tools using a variety of aggregate ranking methods. Levels of uncertainty in the aggregate protein rankings was assessed by conformal interval prediction in association with a machine learning model. Several of the top ranked proteins identified by this approach were novel, uncharacterized membrane transporters or proteins associated with RNA metabolism. In conclusion, MCDM automated the decision making using well known algorithms while conformal prediction intervals varied significantly across the 8000+ proteins of T. gondii. Highly ranked proteins (e.g. the top 100) typically generated low prediction intervals, providing high levels of confidence in their ranks.

Toxoplasma↗
PubMed2026

Integrated immunoinformatics for the design of novel multi-epitope vaccine and identification of new drug targets against Stenotrophomonas maltophilia, a multidrug-resistant superbug.

BACKGROUND: Stenotrophomonas maltophilia is a multidrug-resistant opportunistic pathogen causing severe hospital-acquired infections, especially in immunocompromised patients. The absence of an effective vaccine and rising antibiotic resistance underscore the need for novel interventions. This study employed an integrated reverse vaccinology and computational analyses to identify new immunogenic targets, design a multi-epitope vaccine (MEV), and propose potential drug targets. METHODS: A comprehensive immunoinformatics pipeline was employed to assess antigenicity, allergenicity, human similarity, and physicochemical properties of S. maltophilia proteins. Both B- and T-cell epitopes were screened; however, only the top B-cell epitopes were selected for MEV construction, given the extracellular nature of S. maltophilia. MEV-TLR interactions were analyzed through molecular docking and dynamics simulations. In parallel, cytoplasmic proteins were screened via a subtractive genomics approach to identify essential, non-human homologous, and non-microbiome-similar proteins, which were further evaluated for druggability and interaction networks to propose novel therapeutic targets. RESULTS: From a total of 4111 proteins, seven potential immunogenic targets were identified: GspD (WP_108270537.1), FhuE (WP_049451370.1), fimbrial protein (WP_012479122.1), TonB-dependent receptor (WP_169448402.1), TolC family protein (WP_108270106.1), autotransporter beta-barrel OMP (WP_169448945.1), and a hypothetical protein (WP_005407892.1). Subsequently, an MEV was designed using five immunogenic epitopes derived from four of these targets: WP_005407892.1 (ADQDSSNM), WP_049451370.1 (SGKAEQ and GEESKTPS), WP_108270537.1 (GVTSTQSDSERT), and WP_169448945.1 (RELGGDRNE). Molecular docking and molecular dynamics simulations demonstrated strong, stable, and feasible interactions between the MEV and TLR-2 and TLR-4 receptors. Moreover, nine novel drug targets were predicted for S. maltophilia, providing new therapeutic insights. CONCLUSION: The designed MEV and identified immunogenic targets represent promising vaccine candidates against S. maltophilia. Further in vitro and in vivo studies are essential to confirm their safety, immunogenicity, and protective efficacy. Additionally, subtractive genomics analysis revealed nine novel, non-homologous drug targets, offering safer and more specific therapeutic avenues.

Drug targets↗
PubMed2002

Bacterial proteomics and vaccine development.

Until recently, the development of vaccines for use in humans relied on the response to attenuated or whole-cell preparations, or empirically selected antigens. The post-genomic era holds the possibility of rational design of novel vaccines for important human pathogens. The discovery and development of these new vaccines is likely to be accomplished through integrated proteomic strategies. Although most proteomic studies are based on two-dimensional gel electrophoresis (2D-PAGE) as a separation technique, new methods have been developed within the past two years that provide complementary information concerning microbial protein expression. The 2D-PAGE technique in combination with Western blotting has been successfully applied in the discovery of antigens from Helicobacter pylori, Chlamydia trachomatis and Borrelia garinii. Two-dimensional semi-preparative electrophoresis has provided complementary information regarding membrane protein expression in a strain of H. pylori. Through two-dimensional liquid chromatography-tandem mass spectrometry, the most comprehensive information to date regarding protein expression in yeast was obtained. This technique may shortly become an important tool in vaccinology. This review of the current state of bacterial proteomics as applied in vaccinology presents analytical techniques for protein separation, proteomics without gels, reverse vaccinology, and functional approaches to the identification of virulence proteins in microbes.

Bacterial Proteins↗