ICAR Research Data Repository for Knowledge Management
Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
DIR@IMTECH: CSIR-Institute of Microbial Technology
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| Title |
Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants.
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| Creator |
Nagpal, Gandharva
Chaudhary, Kumardeep Agrawal, Piyush Raghava, G.P.S. |
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| Subject |
QR Microbiology
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| Description |
Evidences in literature strongly advocate the potential of immunomodulatory peptides for use as vaccine adjuvants. All the mechanisms of vaccine adjuvants ensuing immunostimulatory effects directly or indirectly stimulate antigen presenting cells (APCs). While numerous methods have been developed in the past for predicting B cell and T-cell epitopes; no method is available for predicting the peptides that can modulate the APCs.
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| Publisher |
Springer Nature
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| Date |
2018-07-03
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| Type |
Article
PeerReviewed |
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| Relation |
https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-018-1560-1
http://crdd.osdd.net/open/2162/ |
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| Identifier |
Nagpal, Gandharva and Chaudhary, Kumardeep and Agrawal, Piyush and Raghava, G.P.S. (2018) Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants. Journal of translational medicine, 16 (1). p. 181. ISSN 1479-5876
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