Udemy - Bioinformatics Mastery Vaccine Design

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 2.17 GB | Duration: 4h 27m
(90% Practical and 10% Theory)

What you'll learn
Introduction to Immunology & Immunoinformatics
Brief overview of Vaccinology and Reverse Vaccinology
Hands on guidance on Vaccine Design Pipeline
Get to know various databases and tools in Vaccine Design Process
Functional analysis of antigenic proteins
Structural analysis of antigenic proteins
B cell epitope prediction
T cell epitope prediction
MHC binding prediction
Antigen modelling
Antibody modelling
Antigen-Antibody docking
Requirements
Basic immunology knowledge
Basic biochemistry knowledge
Basic molecular biology knowledge
Basic genetics knowledge
Basic computer knowledge
Internet
Description
Vaccinology is the branch of medicine concerned with the development of vaccines. 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 antigens are produced by genetic engineering technology. These products are sometimes 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 antigenic 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 antigenicity 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 antigenic 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 antigenic protein. Then in the functional analysis of antigenic protein session, we will look more into antigenicity, allergic nature, and physicochemical properties of antigenic proteins. We will also look for structural features of the antigenic proteins like secondary structures, domains, and motifs. Then, we start analyzing the various types of epitopes in antigenic proteins. Finally, we model the structure of antigen 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 Antigenic Proteins
· Primary protein structure prediction of antigenic protein
· Prediction of antigenicity of antigenic proteins
· Prediction of allergic nature of antigenic proteins
· Prediction of physiochemical properties of antigenic proteins
Structural Analysis of Antigenic Proteins
· Prediction of the secondary structure of the antigenic protein
· Prediction of domains and important sites in antigenic protein
Epitope Prediction
· Continuous B-cell epitope prediction
· Discontinuous B-cell epitope prediction
· Prediction of immunogenic regions in antigenic protein
· Prediction of glycoprotein antigen epitopes
· Cytotoxic T cell epitope prediction
· MHC class I and II prediction
· T cell epitopes processing prediction
· T cell epitopes Immunogenicity prediction
Antigen and Antibody Modelling &Docking
· Automated antigen modelling
· Alignment based antigen modelling
· Antibody modelling
· Antigen-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 time.
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 engineering 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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