Bioinformatics Mastery: Immunoinformatics

Learn the Bioinformatics Tools Used in Reverse Vaccinology Pipeline

4.30 (79 reviews)
Udemy
platform
English
language
Science
category
instructor
Bioinformatics Mastery: Immunoinformatics
429
students
4.5 hours
content
Jan 2022
last update
$44.99
regular price

What you will 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

Why take this course?

Immunoinformatics, otherwise known as computational immunology is the interface between computer science and experimental immunology. It is a field of science that uses high-throughput genomics and bioinformatics approaches for the understanding of immunological information. One of the major applications of immunoinformatics is an efficient and effective in-silico prediction of antigenicity and immunogenicity during vaccine development.

Conventionally, vaccine antigens are produced by genetic engineering technology. During this process, we have to culture the virus in the laboratory to purify and clone antigenic peptides. This process is very money consuming because it takes a lot of time and effort to identify the proteins in the virus that act as antigens. However, with the help of reverse vaccinology using immunoinformatics pipelines, we can prepare vaccines without culturing microorganisms with aid of genomic information and computer. The major advantage of reverse vaccinology is finding vaccine targets quickly and efficiently without too much expense.

During this process, first, the DNA of a virus is completely sequenced to identify the protein-coding genes and other functional genomic information. Then using computational tools, proteins with antigenic and immunological properties are predicted. Next novel antigenic proteins are purified and are injected into animal models to induce antibody or immune response. Finally, vaccines are produced by isolating the antigenic fragments from animals.

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. 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.

Screenshots

Bioinformatics Mastery: Immunoinformatics - Screenshot_01Bioinformatics Mastery: Immunoinformatics - Screenshot_02Bioinformatics Mastery: Immunoinformatics - Screenshot_03Bioinformatics Mastery: Immunoinformatics - Screenshot_04

Reviews

Dr.
September 1, 2023
Needs Improvement: the course fell short of my expectations, it lacked depth and context: - The course content was subpar, no proper references, low-quality images and a heavy focus on step-by-step instructions for tool usage. - The instructional approach was lacking. The lecturer repeated basic instructions without delving into the subject's real-world applications. I hope this feedback helps the course organizers improve the quality of their offerings for future students.
Abdellaoui
August 20, 2023
the course teach a lot of concepts but there isn't enough explanations. in addition, there is several steps are ommited while designing the vaccine such as refinement of structure.
Ki
August 3, 2023
There are a lot of contents covered in this course and in many ways it's helpful for someone trying to get into immunoinformatics. However, the instructor does not explain why these different predictions are important/significant when it comes to vaccine development. There is lack of insights in the lessons and it's hard to connect the dots unless you do your own background research on each technique.
Sahas
April 12, 2023
It's a good presentation. I wish you'd explain just a tad bit more than just what re written on the slides.. For example, a small extra note could be, you mentioning MHC-I can also present exogenous antigens by a method called cross-presentation...just a bit extra every once in a while where possible, i guess.. And when you're explaining the results of server rather than just saying what value is what as seen on screen, it'd be more helpful and insightful if you could explain what those stuffs are?
Dr.
March 23, 2023
It was just slide reading, I have faced the same things in my classes as well. Typical Indian method of teaching.
Rubén
December 28, 2022
In the first class the speaker read all the presentation, I was ready to give up on the course; however, the next classes were more interactive and better.
Dorukcan
August 21, 2022
Kursun kendisi bir yana eğitmen çok vasattı. Server açamayınca ''yok onu denemeyin bunu deneyin'' ''o değilmiş buymuş'' gibi cümleler kurdu. Websitesini açıp yardım kısmından kendi açtı okudu vs, online kurslarda biraz daha profesyonellik beklerdim, sonuçta canlı değil.
Sheetal
February 16, 2022
Thank you BioscientifiQ for providing valuable information on Vaccine design. I really appreciate your efforts on designing the course in a structured manner. Thank you so much for guiding us by answering to our queries as well. Looking forward to more courses! I will definitely share this course with my friends so that they could also gain knowledge from your fabulous content.
Roja
February 5, 2022
This is a wonderful course for everyone interested in bioinformatics and computational biology. This is a simple, precise, detailed and perfect course for beginners. I wish and request for more bioinformatics related courses with advanced tutorials. thank you.

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4509700
udemy ID
1/23/2022
course created date
2/3/2022
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