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In Silico Models for Drug Discovery

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Attention for Chapter 8: Databases and In Silico Tools for Vaccine Design
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Chapter title
Databases and In Silico Tools for Vaccine Design
Chapter number 8
Book title
In Silico Models for Drug Discovery
Published in
Methods in molecular biology, March 2013
DOI 10.1007/978-1-62703-342-8_8
Pubmed ID
Book ISBNs
978-1-62703-341-1, 978-1-62703-342-8
Authors

Yongqun He, Zuoshuang Xiang

Editors

Sandhya Kortagere

Abstract

In vaccine design, databases and in silico tools play different but complementary roles. Databases collect experimentally verified vaccines and vaccine components, and in silico tools provide computational methods to predict and design new vaccines and vaccine components. Vaccine-related databases include databases of vaccines and vaccine components. In the USA, the Food and Drug Administration (FDA) maintains a database of licensed human vaccines, and the US Department of Agriculture keeps a database of licensed animal vaccines. Databases of vaccine clinical trials and vaccines in research also exist. The important vaccine components include vaccine antigens, vaccine adjuvants, vaccine vectors, and -vaccine preservatives. The vaccine antigens can be whole proteins or immune epitopes. Various in silico vaccine design tools are also available. The Vaccine Investigation and Online Information Network (VIOLIN; http://www.violinet.org ) is a comprehensive vaccine database and analysis system. The VIOLIN database includes various types of vaccines and vaccine components. VIOLIN also includes Vaxign, a Web-based in silico vaccine design program based on the reverse vaccinology strategy. Vaccine information and resources can be integrated with Vaccine Ontology (VO). This chapter introduces databases and in silico tools that facilitate vaccine design, especially those in the VIOLIN system.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 3 13%
Student > Bachelor 3 13%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Other 2 8%
Unknown 8 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 21%
Medicine and Dentistry 4 17%
Biochemistry, Genetics and Molecular Biology 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 10 42%