ISSN: 0974-276X
Himansu Sekhar Nanda Lelin Patel, Nidhi Gaur, Rajanikantha Nahak
Scientific Tracks Abstracts: J Proteomics Bioinform
Chikungunya virus (CHIKV) has caused modern, large epidemics on islands in the Indian Ocean, India, Asia, Africa and, recently Europe raising the possibility of more widespread CHIKV epidemics. The virus is usually transmitted by Aedes aegypti mosquitoes, currently a new vector Aealbopictus has been observed. No effective vaccine or antiviral drug is available against Chikungunya virus. Now a day, subunit vaccine design is preferred rather than general vaccine design. This database provides useful information about peptide vaccine design referring to amino acid sequences for each gene of various strains of CHIKV which is recognized by MHC class I, MHC class II and B-cell epitope. Different programs have been used to detect these peptide sequences e.g. B cell epitope regions in an amino acid (antigen) sequence useful in selecting synthetic vaccine candidates uses artificial neural network algorithm. This database also provides different types of mutations i.e. transitional, transversional and silent mutations among the genes of different Chikungunya virus strains. This database also provides novel functions associated with each sequence of both structural and nonstructural protein of CHIKV.
This research work is an attempt to provide researchers or scientists working on Chikungunya virus a single web server detecting about novel functions, mutations and peptide vaccine design information. The researchers can select the best peptide sequence for design of subunit vaccine from the database itself on the basis of different CHIKV strains. There has been diversity in protein function families of different structural and non structural proteins of CHIKV observed from this analysis.The functional difference are also known from the database. Many functions which have been found were novel functions which have never yet been reported experimentally.