Not all T cell epitopes are equally desired: a review of in silico tools for the prediction of cytokine-inducing potential of T-cell epitopes

被引:3
|
作者
Dhanda, Sandeep Kumar
Malviya, Jitendra
Gupta, Sudheer
机构
[1] Department Of Oncology, St Jude Children's Research Hospital, Memphis, 38015, TN
[2] Center For Transdisciplinary Research, Department Of Pharmacology, Saveetha Dental College, Saveetha Institute Of Medical And Technical Science, Chennai
[3] Department Of Life Sciences And Biological Science, Ies University Bhopal
[4] Ngs & Bioinformatics Division, 3B BlackBio Biotech India Ltd., 7-C, Industrial Area, Govindpura, Bhopal
关键词
T cell epitopes; cytokine induction; bioinformatics tools; desired immunity; immunogenicity; ALTERED PEPTIDE LIGANDS; VACCINE CANDIDATES; BINDING; AUTOIMMUNE; PROTEINS; INFLAMMATION; INDUCTION; MONOCYTE; ANTIGEN; DESIGN;
D O I
10.1093/bib/bbac382
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Assessment of protective or harmful T cell response induced by any antigenic epitope is important in designing any immunotherapeutic molecule. The understanding of cytokine induction potential also helps us to monitor antigen-specific cellular immune responses and rational vaccine design. The classical immunoinformatics tools served well for prediction of B cell and T cell epitopes. However, in the last decade, the prediction algorithms for T cell epitope inducing specific cytokines have also been developed and appreciated in the scientific community. This review summarizes the current status of such tools, their applications, background algorithms, their use in experimental setup and functionalities available in the tools/web servers.
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页数:10
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