Computational tools for modern vaccine development

被引：56

作者：

Sunita ^{[1
,2
]}

Sajid, Andaleeb ^{[3
]}

Singh, Yogendra ^{[2
]}

Shukla, Pratyoosh ^{[1
]}

机构：

[1] Maharshi Dayanand Univ, Dept Microbiol, Enzyme Technol & Prot Bioinformat Lab, Rohtak 124001, Haryana, India

[2] Univ Delhi, Dept Zool, Bacterial Pathogenesis Lab, Delhi, India

[3] NCI, NIH, Bethesda, MD 20892 USA

来源：

HUMAN VACCINES & IMMUNOTHERAPEUTICS | 2020年 / 16卷 / 03期

关键词：

Vaccine; reverse vaccinology; rational design; antibodyomics tools; epitope prediction; multi-graft scaffolding; BROADLY NEUTRALIZING ANTIBODIES; EPITOPE PEPTIDE VACCINE; VIRUS-LIKE PARTICLES; CODON OPTIMIZATION; RATIONAL DESIGN; IMMUNE-RESPONSES; PROTEIN-STRUCTURE; SYSTEMS BIOLOGY; INFLUENZA-VIRUS; PREDICTION;

D O I：

10.1080/21645515.2019.1670035

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Vaccines play an essential role in controlling the rates of fatality and morbidity. Vaccines not only arrest the beginning of different diseases but also assign a gateway for its elimination and reduce toxicity. This review gives an overview of the possible uses of computational tools for vaccine design. Moreover, we have described the initiatives of utilizing the diverse computational resources by exploring the immunological databases for developing epitope-based vaccines, peptide-based drugs, and other resources of immunotherapeutics. Finally, the applications of multi-graft and multivalent scaffolding, codon optimization and antibodyomics tools in identifying and designing in silico vaccine candidates are described.

引用

页码：723 / 735

页数：13

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