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State of the Art of Immunoinformatics
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Author(s): Eduarda Guimarães Sousa (Federal University of Minas Gerais, Brazil), Lucas Gabriel Rodrigues Gomes (Federal University of Minas Gerais, Brazil), Fernanda Diniz Prates (Federal University of Minas Gerais, Brazil), Talita Pereira Gomes (Federal University of Minas Gerais, Brazil), Gabriel Camargos Gomes (Federal University of Minas Gerais, Brazil), Janaíne Aparecida de Paula (Federal University of Minas Gerais, Brazil), Ana Lua de Oliveira Vinhal (Federal University of Minas Gerais, Brazil), Bernardo Buhr Alves Mendonça (Federal University of Minas Gerais, Brazil), Mariana Letícia Costa Pedrosa (Federal University of Minas Gerais, Brazil), Luiza Pereira Reis (Federal University of Minas Gerais, Brazil), Aline Ferreira Maciel de Oliveira (Federal University of Minas Gerais, Brazil), Marcus Vinicius Canário Viana (Federal University of Minas Gerais, Brazil), Arun Kumar Jaiswal (Federal University of Minas Gerais, Brazil), Siomar de Castro Soares (Federal University of Triângulo Mineiro, Brazil)and Vasco Ariston de Carvalho Azevedo (Federal University of Minas Gerais, Brazil)
Copyright: 2025
Pages: 38
Source title:
Effective Techniques for Bioinformatic Exploration
Source Author(s)/Editor(s): Paulo Fazendeiro (Instituto de Telecomunicações, Portugal & University of Beira Interior, Portugal)and Carmelina Leite (CEO of NEW APPROACH — Machine Learning for Pharma and Nutraceuticals)
DOI: 10.4018/979-8-3693-3192-7.ch003
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Abstract
Vaccinology is the study of vaccines, their development, and their use. Classical vaccinology, practiced for centuries, relies on identifying and isolating a pathogen's protective antigens. Classical vaccinology has successfully developed vaccines against many diseases, including smallpox, measles, mumps, and diphtheria. However, it can be a time-consuming and labor-intensive process. Immunoinformatics offers a new approach to vaccine development that can address some of the limitations of classical vaccinology. This interdisciplinary field combines biology and computer science to explore the immune system's interactions. In the last decade, technological advances, such as big data, machine learning, and artificial intelligence, are enabling new advances in Immunoinformatics, potentially revolutionizing vaccine development. This chapter aims to provide a comprehensive overview of Immunoinformatics, its techniques, and its applications, exploring its foundations, advances, and future perspectives.
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