Priya Narang, Mehak Dangi, Deepak Sharma, Alka Khichi and Anil Kumar Chhillar* Pages 1 - 10 ( 10 )
Chikungunya infection flare-ups have happened in nations of Africa, Asia, and Europe including Indian and Pacific seas. It causes fever and different side effects incorporate muscle torment, migraine, sickness, exhaustion and rash. It has turned into another, startling general medical issue in numerous tropical African and Asian countries and is presently viewed as a genuine risk. There is no antiviral treatment and vaccine available for this ailment and the treatment is centered just on mitigating the side effects. Therefore, to encourage the study on this viral pathogen, we have developed a database that annotates and unifies the data from various resources; ChkVDb. It is a consolidated approach for Chikungunya Virus genomic, proteomic, phylogenetics and therapeutic learning. It involves entire genome sequences and their annotation utilizing different in silico tools. Annotation includes the information for CpG Island, usage bias, codon context and phylogenetic analysis at both genome and proteome level. This database incorporates information of 41 strains of virus causing Chikungunya infection that can be accessed conveniently as well as downloaded effortlessly. Therapeutics section of this database contains data about B and T cell Epitopes, siRNAs and miRNAs that can be used as potential therapeutic targets. This database can be explored by specialists and established researchers around the world to assist their research on this non- treatable virus.
Availability: It is a public database available from “www.chkv.in”.
ChkVDb, CpG Island, codon context, phylogenetics, glycosylation sites, Epitopes, siRNAs, and miRNAs
Centre for Bioinformatics, M.D. University, Rohtak, Centre for Bioinformatics, M.D. University, Rohtak, Centre for Bioinformatics, M.D. University, Rohtak, Centre for Bioinformatics, M.D. University, Rohtak, Centre for Biotechnology, M. D. University, Rohtak