PolysacDB: A comprehensive database of microbial polysaccharide antigens and their antibodies

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Citation: Aithal A, Sharma A, Joshi S, Raghava GPS, Varshney GC (2012) PolysacDB: A Database of Microbial Polysaccharide Antigens and Their Antibodies. PLoS ONE 7(4): e34613. doi:10.1371/journal.pone.0034613
Total Entries - 1

Entry No. - 1   [TOP]
PolysacDB ID1667
Carbohydrate NameGlycopeptidolipid antigen   (Drugpedia)
Carbohydrate ClassGlycolipid
MicrobeMycobacterium avium complex serovar 4   (NCBI Taxonomy)   (Drugpedia)
Basic StructureThis antigen is composed of a glycosylated lipopeptide core, fatty acyl-D-phenylalanine-D-allothreonine-D-alanine-L-alaninyl-O-(3,4-di-O-methyl-α-L-rhamnopyranoside), to which a haptenic oligosaccharide is linked at the threonine substituent
BCSDB Structure134896
Proposed functionsThis oligosaccharide unit is the source of the dominant immunogenicity of members of the M. avium complex, i.e., their characteristic agglutinability and type specificity
Antigenic Nature used to produce antibodiesSerovar 4-specific neoglycoprotein, 4-0-methyl-a-L-rhamnopyranosyl(1--> 4)-2-0 - methyl - alpha - L fucopyranosyl oxynonanoyl-bovine serum albumin (BSA) (neoantigen 4) along with whole washed M. avium complex serovar 4 cells and corresponding serovar 4 glycopeptidolipid antigens
Carrier NameNil
Conjugation MethodNil
AntibodiesMab F85-3
Antibody type and classIgG3
Assay SystemELISA, Inhibition assays, dot blot
Cross-reactivityThis antibody cross-reacted with whole cells of serovar 4 and acetylated-GPL-4
Proposed epitopes4-O-methyl-α-L-rhamnopyranosyl-(1-->4)-2-O-methyl-α-L-fucopyranosyl residues seemed to be a part of the epitope
IEDB EpitopeN/A
Proposed UtilityThis Mab can be used for the identification and classification of M. avium isolates. This Mab can be applied directly to bacterial cultures, thus allowing easy, rapid identification of at least half of the M. avium isolates encountered in the clinical laboratory
Curator IDAA + AS
Date of Curation02-10-2010
ReferencesPMC260783


Department of Computational Biology, Indraprastha Institute of Information Technology, Sec - 39A, New Delhi, India - 110020