In Combinatorial chemistry & high throughput screening
One of the most dynamic approaches in biotechnology is reverse vaccinology, which plays a huge role in today's developing vaccines. It has the capability of exploring and identifying the most potent vaccine candidate in a limited period of time. The first successful novel approach of reverse vaccinology was observed in Neisseria meningitidis serogroup B, which has revolutionised the whole field of computational biology. In this review, we have summarized the application of reverse vaccinology for different infectious diseases, brief about the epitope prediction and the various available bioinformatic tools, and the advantages, limitations and necessary elements of this approach. e have also outlined some of the modifications in the reverse vaccinology approach, like pan-genome and comparative reverse vaccinology. Vaccines for illnesses like AIDS and hepatitis Chave not yet been developed. Computer Aided Reverse vaccinology has the potential to be a game-changer in this area. The use of computational tools, pipelines and advanced soft-computing methods, such as artificial intelligence, deep learning and exploitation of available omics data in integration, has opened a new plethora for speedy and effective vaccine designing. Is reverse vaccinology a viable option for developing vaccines against such infections, or is it a myth? Vaccines against various illnesses have clearly been triggered by infection and death of persons following immunization; these vaccines were created using the traditional technique, which included inactivated microorganisms. As a result, reverse vaccinology may be a far superior technique for creating an effective vaccine.
Srivastava Poornima, Jain Chakresh Kumar
Computer-aided reverse vaccinology, DNA microarray, comparative reverse vaccinology, epitope prediction, pan genomic reverse vaccinology