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T-cell epitope prediction of HIV-1.
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创建时间：
2019-10-31
相关数据集
DataSheet_7_A Systematic Immuno-Informatic Approach to Design a Multiepitope-Based Vaccine Against Emerging Multiple Drug Resistant Serratia marcescens.pdf
Serratia marcescens is now an important opportunistic pathogen that can cause serious infections in hospitalized or immunocompromised patients. Here, we used extensive bioinformatic analyses based on
NIAID Data Ecosystem30
Parameter values used in the immune cell interactions model.
a1, a2, a3, a4 and ck the model behavior is: SH - Stable Homeostasis, TS – Trigger Switch and Osc – Oscillations. Depending on the parameter values for
NIAID Data Ecosystem20
MOESM5 of Prediction of novel mouse TLR9 agonists using a random forest approach
Additional file 5. Results of ten-fold cross-validation.
Figshare2019-12-20 更新10
Whole-Genome Immunoinformatic Analysis of F. tularensis: Predicted CTL Epitopes Clustered in Hotspots Are Prone to Elicit a T-Cell Response
The cellular arm of the immune response plays a central role in the defense against intracellular pathogens, such as F. tularensis. To date, whole genome immunoinformatic analyses were limited either
Figshare2016-01-18 更新30
Numbers of putative α-Syn epitopes for presentation to T cell receptors predicted from the binding potential of MHC class I and II molecules for the aa sequence of α-Syn.
Number of predicted T-cell epitopes from the 38-mer C-terminal fragment of α-Syn are in brackets. aFor class I MHC binders three following grades for scoring included: low immunogenic epitopes, scores
Figshare2015-12-02 更新20
