Epitope-driven DNA vaccine design employing immunoinformatics against B-cell lymphoma: a biotech's challenge.

摘要: DNA vaccination has been widely explored to develop new, alternative and efficient vaccines for cancer immunotherapy. offer several benefits such as specific targeting, use of multiple genes enhance immunity reduced risk compared conventional vaccines. Rapid developments in molecular biology immunoinformatics enable rational design approaches. These technologies allow construction encoding selected tumor antigens together with molecules direct amplify the desired effector pathways, well highly targeted aimed at epitopes. Reliable predictions immunogenic T cell epitope peptides are crucial vaccine represent a key problem immunoinformatics. Computational approaches have developed facilitate process detection show potential applications immunotherapeutic treatment cancer. In this review number different prediction methods briefly illustrated effective these resources support experimental studies is described. Epitope-driven employs bioinformatics algorithms identify targets against paper selection epitopes epitope-based vaccines, need CD4(+) help improved assessment performance reviewed. We focused on two applications, namely novel enhancement by sequence modification, combined rationale creation new synthetic mini-genes. This describes development their antitumor effects preclinical research B-cell lymphoma, corroborating usefulness platform tool therapy. Achievements field overcome hurdles clinical translation. scenario where industry rapidly changing from mostly empirical approach approach, promise discover high-value creating opportunity future markets.