Selected article for: "amino acid and computational prediction"

Author: Garg, Anjali; Kumari, Bandana; Kumar, Ravindra; Kumar, Manish
Title: miPepBase: A Database of Experimentally Verified Peptides Involved in Molecular Mimicry
  • Document date: 2017_10_23
  • ID: 06kffdm5_37
    Snippet: MimicDB mimicDB (Ludin et al., 2011 ) is a database of linear amino acid epitopes derived from a comparative genomics approach. These epitopes were predicted to be a potential molecular mimicry peptide and derived from a computational prediction pipeline. Further mimicDB is focused on a few selected human endoparasites namely Brugia malayi, Schistosoma mansoni, Plasmodium falciparum, Leshmania major, Cryptosporidium parvum, Trichomonas vaginalis,.....
    Document: MimicDB mimicDB (Ludin et al., 2011 ) is a database of linear amino acid epitopes derived from a comparative genomics approach. These epitopes were predicted to be a potential molecular mimicry peptide and derived from a computational prediction pipeline. Further mimicDB is focused on a few selected human endoparasites namely Brugia malayi, Schistosoma mansoni, Plasmodium falciparum, Leshmania major, Cryptosporidium parvum, Trichomonas vaginalis, and Trypanosoma cruzi. In miPepBase the information is not restricted to any particular class of pathogen and/or disease. It contains information related to all autoimmune diseases caused by pathogens, which may belong to viruses, or prokaryotes, or eukaryotes. miPepBase host's and pathogen's mimicry peptides were curated from literature. The respective researchers have already experimentally established the role of these mimicry epitopes in generating autoimmune disease.

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