scholarly journals PEMETAAN EPITOP DAN APLIKASI KLINISNYA

Author(s):  
Jusak Nugraha

Epitope mapping is one of the important findings in immunoIogy. The idea of systematic epitope mapping was first described byGeysen et al (Geysen et al., 1987a,b). This technic is further developed together with other important findings such as monoclonalantibody production, DNA recombinant, peptide synthesis and phage display of peptide or protein. The usage of this technic is to know theexact binding site of antigen with antibody or T cell receptor, and can be used as the basic information to design a vaccine or diagnostictools. The term epitope can be further classified as functional epitope, structural epitope, binding epitope, protective epitope, heavyinfection epitope, neutralization epitope etc. In this article will be reviewed topics about epitope: B and T cell epitope mapping technicsusing synthetic pin and its application.

Hepatology ◽  
1997 ◽  
Vol 26 (4) ◽  
pp. 1027-1034 ◽  
Author(s):  
A Bertoletti ◽  
S Southwood ◽  
R Chesnut ◽  
A Sette ◽  
M Falco ◽  
...  

2019 ◽  
Vol 10 ◽  
Author(s):  
Sofie Gielis ◽  
Pieter Moris ◽  
Wout Bittremieux ◽  
Nicolas De Neuter ◽  
Benson Ogunjimi ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-6
Author(s):  
Yanmin Wan ◽  
Jing Wang ◽  
Haizhu Zhou ◽  
Zhidong Hu ◽  
Xiaonan Ren ◽  
...  

Previous studies suggested that both the frequency and the mean fluorescence intensity (MFI) of cytokine secreting T cells could be of great value for immunogenicity evaluation of a vaccine. In this study, by constructing epitope-based DNA vaccines encoding a previously identified CD8+T cell epitope, we investigated the influence of multiplying epitope copies on both the frequency and the MFI of specific IFN-γsecreting CD8+T cells. We found that frequencies of specific CD8+T cell could be improved by multiplying epitope copies, while the MFI of IFN-γsecreted by epitope-specific CD8+T cells decreased synchronously. And further analysis showed that the decrease of MFI was not caused by the functional avidity variation of CD8+T cell receptor.


2006 ◽  
Vol 18 (7) ◽  
pp. 1179-1188 ◽  
Author(s):  
Mathias Lichterfeld ◽  
Katie L. Williams ◽  
Stanley K. Mui ◽  
Shivani S. Shah ◽  
Bianca R. Mothe ◽  
...  

2017 ◽  
Author(s):  
Nicolas De Neuter ◽  
Wout Bittremieux ◽  
Charlie Beirnaert ◽  
Bart Cuypers ◽  
Aida Mrzic ◽  
...  

Abstract:Current T-cell epitope prediction tools are a valuable resource in designing targeted immunogenicity experiments. They typically focus on, and are able to, accurately predict peptide binding and presentation by major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells. However, recognition of the peptide-MHC complex by a T-cell receptor is often not included in these tools. We developed a classification approach based on random forest classifiers to predict recognition of a peptide by a T-cell and discover patterns that contribute to recognition. We considered two approaches to solve this problem: (1) distinguishing between two sets of T-cell receptors that each bind to a known peptide and (2) retrieving T-cell receptors that bind to a given peptide from a large pool of T-cell receptors. Evaluation of the models on two HIV-1, B*08-restricted epitopes reveals good performance and hints towards structural CDR3 features that can determine peptide immunogenicity. These results are of particularly importance as they show that prediction of T-cell epitope and T-cell epitope recognition based on sequence data is a feasible approach. In addition, the validity of our models not only serves as a proof of concept for the prediction of immunogenic T-cell epitopes but also paves the way for more general and high performing models.


1999 ◽  
Vol 103 (2) ◽  
pp. 255-261 ◽  
Author(s):  
Matthew D. Burton ◽  
Bella Blaher ◽  
Cenk Suphioglu ◽  
Robyn E. O’Hehir ◽  
Francis R. Carbone ◽  
...  

Author(s):  
Jan Fagerberg ◽  
Qing Yi ◽  
Dulceaydee Gigliotti ◽  
Ulrika Harmenberg ◽  
Ulla Rud�n ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document