TY - CHAP
T1 - Artificial Intelligence in Vaccine and Drug Design
AU - Thomas, Sunil
AU - Abraham, Ann
AU - Baldwin, Jeremy
AU - Piplani, Sakshi
AU - Petrovsky, Nikolai
PY - 2022
Y1 - 2022
N2 - Knowledge in the fields of biochemistry, structural biology, immunological principles, microbiology, and genomics has all increased dramatically in recent years. There has also been tremendous growth in the fields of data science, informatics, and artificial intelligence needed to handle this immense data flow. At the intersection of wet lab and data science is the field of bioinformatics, which seeks to apply computational tools to better understanding of the biological sciences. Like so many other areas of biology, bioinformatics has transformed immunology research leading to the discipline of immunoinformatics. Within this field, many new databases and computational tools have been created that increasingly drive immunology research, in many cases drawing upon artificial intelligence and machine learning to predict complex immune system behaviors, for example, prediction of B cell and T cell epitopes. In this book chapter, we provide an overview of computational tools and artificial intelligence being used for protein modeling, drug screening, vaccine design, and highlight how these tools are being used to transform approaches to pandemic countermeasure development, by reference to the current COVID-19 pandemic.
AB - Knowledge in the fields of biochemistry, structural biology, immunological principles, microbiology, and genomics has all increased dramatically in recent years. There has also been tremendous growth in the fields of data science, informatics, and artificial intelligence needed to handle this immense data flow. At the intersection of wet lab and data science is the field of bioinformatics, which seeks to apply computational tools to better understanding of the biological sciences. Like so many other areas of biology, bioinformatics has transformed immunology research leading to the discipline of immunoinformatics. Within this field, many new databases and computational tools have been created that increasingly drive immunology research, in many cases drawing upon artificial intelligence and machine learning to predict complex immune system behaviors, for example, prediction of B cell and T cell epitopes. In this book chapter, we provide an overview of computational tools and artificial intelligence being used for protein modeling, drug screening, vaccine design, and highlight how these tools are being used to transform approaches to pandemic countermeasure development, by reference to the current COVID-19 pandemic.
KW - Artificial intelligence, AI
KW - Artificial neural networks
KW - Deep learning
KW - Machine learning
KW - Vaccine design
UR - http://www.scopus.com/inward/record.url?scp=85121642550&partnerID=8YFLogxK
U2 - 10.1007/978-1-0716-1884-4_6
DO - 10.1007/978-1-0716-1884-4_6
M3 - Chapter
C2 - 34914045
AN - SCOPUS:85121642550
SN - 9781071618837
VL - 1
T3 - Methods in Molecular Biology
SP - 131
EP - 146
BT - Vaccine Design
A2 - Thomas, Sunil
PB - Humana Press Inc.
CY - New York, U.S.A.
ER -