Hi Mamuna Mukhtar

In general, its better to do both B and T cells unless you are going to do some functional studies for the predicted B cell epitopes. At present, prediction of epitopes (in your case) alone is not sufficient for publication in reputed journals. If you have stringent study design, meticulous work with several engines / several algorithms, then you may have the chance to publish with epitope prediction alone.

Narayanan Kalyanaraman Thank you for your answer, making things clear for me!

I'm wondering how the vaccine work through computational stuff is?

Ramin Ekhteiari Salmas we can computationally design and predict immunogenicity of vaccine construct using different tools and web servers.

If you elaborate your question I can give a better and comprehensive answer.

Hi Ramin Ekhteiari Salmas,

Computational appraoches (reverse vaccinology) incorporates our understanding on the immuno dominant epitopes derived from various studies over the decades.. MLM, ANN, SVM are some of the networks often used in identification of putative vaccine candidates. It aids to predict or identify the candidates without consuming our time, cost of the assay and requirement of highly specialized laboratories . Further, an epitope predicted by the software is not considered as final product and directly pumped into the vaccine production pipelines. After prediction, it also goes several round of experimental assay for the production of antibodies, evaluation on production of auto-immune antibodies, toxicity, etc. followed by various clinical phases or trails as recommended elsewhere.