Emerging Vaccine Informatics

He, Yongqun; Rappuoli, Rino; Groot, Anne S. De; Chen, Robert T.

doi:10.1155/2010/218590

Cited by 97 publications

(115 citation statements)

References 248 publications

(273 reference statements)

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“…If a vaccine that induces a cellular response is needed, for example a tuberculosis vaccine [22] or a parasite vaccine against leishmaniasis [23], the software must search for antigens that can be recognized by the major histocompatibility complex (MHC) molecules present in T lymphocytes [4]. On the other hand, if a humoral response is required, the software needs to identify antigens for B cells, for example, in the case of inluenza virus or HIV [24,25].…”

Section: Immunoinformaticsmentioning

confidence: 99%

“…In addition to the invaluable role of traditional vaccines to prevent diseases, the society has observed remarkable scientiic and technological progress since the last century in the improvement of these vaccines and the generation of new ones. This has been possible by the fusion of computational technologies with the application of recombinant DNA technology, the fast growth of biological and genomic information in database banks, and the possibility of accelerated and massive sequencing of complete genomes [3][4][5]. This has aided in expanding the concept and application of vaccines beyond their traditional immunoprophylactic function of preventing infectious diseases, and also serving as therapeutic products capable of modifying the evolution of a disease and even cure it [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Bioinformatics on Vaccine Design and Development

María¹,

Arturo²,

Alicia³

et al. 2017

Vaccines

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Vaccines are the pharmaceutical products that ofer the best cost-beneit ratio in the prevention or treatment of diseases. In that a vaccine is a pharmaceutical product, vaccine development and production are costly and it takes years for this to be accomplished. Several approaches have been applied to reduce the times and costs of vaccine development, mainly focusing on the selection of appropriate antigens or antigenic structures, carriers, and adjuvants. One of these approaches is the incorporation of bioinformatics methods and analyses into vaccine development. This chapter provides an overview of the application of bioinformatics strategies in vaccine design and development, supplying some successful examples of vaccines in which bioinformatics has furnished a cuting edge in their development. Reverse vaccinology, immunoinformatics, and structural vaccinology are described and addressed in the design and development of speciic vaccines against infectious diseases caused by bacteria, viruses, and parasites. These include some emerging or re-emerging infectious diseases, as well as therapeutic vaccines to ight cancer, allergies, and substance abuse, which have been facilitated and improved by using bioinformatics tools or which are under development based on bioinformatics strategies.

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Section: Immunoinformaticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Impact of Bioinformatics on Vaccine Design and Development

María¹,

Arturo²,

Alicia³

et al. 2017

Vaccines

View full text Add to dashboard Cite

show abstract

“…Computational immunologist use simulation of immune system using computer and mathematical modeling to study different pathogens and its responses to immune system. (He et al, 2010). The Designing of in sillico models would be helpful in understanding the molecular interactions taking place at cellular and molecular level and simulation of laboratory based experiments.…”

Section: Computational Modeling Of Cancer Vaccinesmentioning

confidence: 99%

Current Trends in Cancer Vaccines - a Bioinformatics Perspective

Sankar

Nayanar²,

Balasubramanian³

2013

Asian Pacific Journal of Cancer Prevention

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Cancer vaccine development is in the process of becoming reality in future, due to successful phase II/III clinical trials. However, there are still problems due to the specificity of tumor antigens and weakness of tumor associated antigens in eliciting an effective immune response. Computational models to assess the vaccine efficacy have helped to improve and understand what is necessary for personalized treatment. Further research is needed to elucidate the mechanisms of activation of antigen specific cytotoxic T lymphocytes, decreased TREG number functionality and antigen cascade, so that overall improvement in vaccine efficacy and disease free survival can be attained. T cell epitomic based in sillico approaches might be very effective for the design and development of novel cancer vaccines.

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“…Since the 1980s, different immunoinformatic tools were developed and used aiming for vaccine design ( Figure 1) [6].As a result of sequencing human genome and other organism, huge amount of immunological data is accumulated. These wealthy data has been deposited in different database.…”

mentioning

confidence: 99%

“…Since the 1980s, different immunoinformatic tools were developed and used aiming for vaccine design ( Figure 1) [6].…”

mentioning

confidence: 99%

Immunoinformatics: Implications on Reverse Vaccinology

Elneel¹

2017

Immunochem Immunopathol

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Immunoinformatics is scientific setting that targets the use of mathematical and computational approaches to comprehend, produce, process, and develop immunological data [5]. Since the 1980s, different immunoinformatic tools were developed and used aiming for vaccine design ( Figure 1) [6].As a result of sequencing human genome and other organism, huge amount of immunological data is accumulated. These wealthy data has been deposited in different database. The availability of different useful and user-friendly Web-based computational tools and searchable databases pave the way for predicting potential B, T cell epitopes in protein sequences. The main objective when predicting these epitopes is the determination of the binding affinity of MHC molecules and antigenic peptides.The tools in this field are based on statistical and machine learning system and are used for studying modeling molecular interactions (such as antigen processing and presentation) and also plays a role in defining new hypotheses related to understand the immune system mechanisms [7].The concept of reverse vaccinology is based on selecting specific epitope of interest that are capable of provoking cellular as well as humoral immune response. The peptide candidate could be selected based on several criteria including, sequence conservancy, binding affinity to both MHC classes, allergenicity, etc.Given the high cost and time requirements for new drugs development, vaccines remain as a viable alternative, but there too traditional techniques of live-attenuated or inactivated vaccines have the danger of allergenic reactions and others [3]. The developments in bioinformatics, proteomics, immunogenomics, structural biology and other sciences have spurred the growth of vaccinomics where computer assisted approaches serve to identify suitable peptide targets for eventual development of vaccines. These approaches reducing the workload of experimentalists with higher probability of success. Peptide vaccines have, over the last several years, begun to be looked on as more appropriate alternatives, which are economically affordable, require less time for development and hold the promise for reverse vaccinology

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Emerging Vaccine Informatics

Cited by 97 publications

References 248 publications

The Impact of Bioinformatics on Vaccine Design and Development

The Impact of Bioinformatics on Vaccine Design and Development

Current Trends in Cancer Vaccines - a Bioinformatics Perspective

Immunoinformatics: Implications on Reverse Vaccinology

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