Chapter title |
Immunoinformatics as a Tool for New Antifungal Vaccines
|
---|---|
Chapter number | 3 |
Book title |
Vaccines for Invasive Fungal Infections
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7104-6_3 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7103-9, 978-1-4939-7104-6
|
Authors |
Rupanjali Chaudhuri, Srinivasan Ramachandran |
Editors |
Markus Kalkum, Margarita Semis |
Abstract |
Immunoinformatics aids in screening for vaccine candidates, which can be experimentally tested for their efficacy. This chapter describes methods to use immunoinformatics to screen fungal vaccines candidates. Surface-localized molecules called adhesins could elicit immune response and serve as efficient vaccine candidates. The screening process is patterned on two steps, namely, a First Layer screen mostly used for value addition and prioritization based on characteristics of known antigens and a Second Layer highly focussed on core immunoinformatics analysis involving the binding and interactions of the molecules of the immune system. Together they offer a comprehensive objective evaluation of vaccine candidates selection in silico for fungal pathogens. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 20% |
Student > Postgraduate | 3 | 20% |
Student > Master | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Lecturer | 1 | 7% |
Other | 1 | 7% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 33% |
Medicine and Dentistry | 3 | 20% |
Agricultural and Biological Sciences | 2 | 13% |
Unknown | 5 | 33% |