Plasmodium falciparum is a unicellular protozoan parasite of humans, and the deadliest species of Plasmodium that causes malaria in humans.

A timely immunization can be effective against certain diseases and can save thousands of lives. However, for some diseases it has been difficult, so far, to develop an efficient vaccine. Malaria, a tropical disease caused by a parasite of the genus Plasmodium, is one example. Bioinformatics has opened the way to new lines of experimental investigation One example is reverse vaccinology that aims to identify antigens that are capable of generating an immune response in a given organism using in silico studies. In this study we applied a reverse vaccinology methodology using a bioinformatics pipeline. We obtained 45 potential Linear B cells consensus epitopes from the whole genome of P. falciparum 3D7 that can be used as candidates for malaria vaccines. The direct implication of the results obtained is to open the way to experimentally validate more epitopes to increase the efficiency of the available treatments against malaria and to explore the methodology in other diseases.

Article link: https://www.scitechnol.com/peer-review/reverse-vaccinology-inplasmodium-falciparum-3d7-XiNh.php?article_id=5437

Journal Link: https://www.scitechnol.com/infectious-diseases-immunological-techniques.php

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