The word "vaccinology" means Science of Vaccine Development. A vaccine is any preparation used as a preventive inoculation to confer immunity against a specific disease, usually employing an innocuous form of the disease agent, as killed or weakened bacteria or viruses, to stimulate antibody production. Conventionally, vaccine anns are produced by genetic eeering technology. These products are somes referred to as recombinant vaccines.
However, with the help of reverse vaccinology or computational vaccine design pipelines, we can prepare vaccines without culturing microorganisms with aid of genomic information and computer. The basic idea behind reverse vaccinology is that an entire pathogenic genome can be screened using bioinformatics approaches to find annic genes that have the potential to become an ideal vaccine candidate. During this process, some of the traits that the genes are monitored for that may indicate annicity include genes that code for proteins with extracellular localization, signal peptides, and B-cell epitopes. Next, those genes are filtered for desirable attributes that would make good vaccine targets such as outer membrane proteins. Finally, selected annic proteins undergo normal wet-lab testing for immune responses. The major advantage of reverse vaccinology is finding vaccine targets quickly and efficiently without too much expense.
This course introduces you to the world of reverse vaccinology and computational vaccine design. Throughout the course, we will cover various immunoinformatics tools used in the vaccine design pipeline. We will start with the retrieval of the sequence of the annic protein. Then in the functional analysis of annic protein session, we will look more into annicity, alle nature, and physicochal properties of annic proteins. We will also look for structural features of the annic proteins like secondary structures, domains, and motifs. Then, we start analyzing the various types of epitopes in annic proteins. Finally, we model the structure of ann and antibodies and then do docking to analyze their interaction.
The detailed course structure includes;
Introduction-Vaccine Design and Immunoinformatics
· Introduction to Immunology
· Introduction to Vaccine design and Reverse vaccinology
· Course Overview
Functional Analysis of Annic Proteins
· Primary protein structure prediction of annic protein
· Prediction of annicity of annic proteins
· Prediction of alle nature of annic proteins
· Prediction of physiochal properties of annic proteins
Structural Analysis of Annic Proteins
· Prediction of the secondary structure of the annic protein
· Prediction of domains and important sites in annic protein
Epitope Prediction
· Continuous B-cell epitope prediction
· Discontinuous B-cell epitope prediction
· Prediction of immunogenic regions in annic protein
· Prediction of glycoprotein ann epitopes
· Cytotoxic T cell epitope prediction
· MHC class I and II prediction
· T cell epitopes processing prediction
· T cell epitopes Immunogenicity prediction
Ann and Antibody Modelling &Docking
· Automated ann modelling
· Alignment based ann modelling
· Antibody modelling
· Ann-Antibody Docking
Conclusion-Vaccine Design and Immunoinformatics
· Summary
· Paper Discussion
This course is a unique blend of theory and practical, where you will learn basic theory and then perform practical analysis of various vaccine design and immunoinformatics concepts. We assure you that after taking this course, your perspective will be very different for immunology and vaccine design. If you have any queries, please do not hesitate to contact me. I prepared this course as I have the aspiration for research and a passion for teaching. So, sign up for the course and see how fun, exciting, and rewarding the vaccine design and immunoinformatics tools are. We hope this course will be worth your money and .
Who this course is for
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Bioinformatics background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Immunology background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Virology background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Bacteriology background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Microbiology background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Biotechnology background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Genetics and Genetic eeering background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Life science background
Bachelor, Masters, Ph.D., students as well as Faculty and Professors from Pharmacy background
Biotechnology, Bioinformatics and Pharmaceutical scientists from industry, academia, and regulatory agencies.



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