2004
DOI: 10.1590/s0100-879x2004000500008
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Abstract: We describe the impact of subtype differences on the seroreactivity of linear antigenic epitopes in envelope glycoprotein of HIV-1 isolates from different geographical locations. By computer analysis, we predicted potential antigenic sites of envelope glycoprotein (gp120 and gp4l) of this virus. For this purpose, after fetching sequences of proteins of interest from data banks, values of hydrophilicity, flexibility, accessibility, inverted hydrophobicity, and secondary structure were considered. We identified … Show more

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Cited by 13 publications
(13 citation statements)
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References 35 publications
(26 reference statements)
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“…This in silico approach has been successfully used to determine likely antigenic 'hot spots' on auto-antigens such as cardiac myosin [27], and antigenic sites on viruses [13]. In adopting this approach, we noted a degree of plasticity in peptide regions selected using ExPASy depending on the stringency (or threshold) set.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…This in silico approach has been successfully used to determine likely antigenic 'hot spots' on auto-antigens such as cardiac myosin [27], and antigenic sites on viruses [13]. In adopting this approach, we noted a degree of plasticity in peptide regions selected using ExPASy depending on the stringency (or threshold) set.…”
Section: Discussionmentioning
confidence: 99%
“…It is recognised that pepscan remains an expensive investigative tool. Consequently, we evaluated a bioinformatic approach [13,14] to investigate potential antigenic targets. Overall, 'in silico' analysis favourably highlighted epitopes identifi ed by pepscan studies.…”
Section: Introductionmentioning
confidence: 99%
“…Although there is no perfect method for antigenic peptide prediction, there are several guidelines which could be followed to determine how many peptide fragments of a protein are possibly antigenic, for example, antigenic peptides contain both hydrophilic and hydrophobic residues and glycoproteins of cell surface eliminate from primary peptides which contain consensus sites for N-glycosylation (21). Antigens prediction of all proteins was performed by the VaxiJen server (22).…”
Section: Predicting Antigens and Allergensmentioning
confidence: 99%
“…In clinical trials immunization with CAP-1-6D, induced enhanced CTL responses in patients compared to CAP-1 peptide [26]. In addition, a single amino acid substitution of MART1 [27][28][29][30][31][32][33][34][35] (AAGIGILTV) (substitution of Leu in position 1) enhances MART1 [27][28][29][30][31][32][33][34][35] T cell activity, by inducing IFN-γ and IL-2 in vitro and these T cells are insensitive to inhibitory effects of MART1 [27][28][29][30][31][32][33][34][35] antagonist peptides [20]. Mutated gp100 209-217 peptides with preferred HLA-A2 anchor residues bound with higher affinity to HLA-A2 as compared to the native gp100 peptide [27].…”
Section: Identification Of Mhc Class I and Class Ii Epitopesmentioning
confidence: 99%
“…1) improved MHC binding affinity and exhibited potent anti-tumor immunity with no autoimmune responses in mice [19]. Enhanced CTL activation has been achieved with 'anchor' residue modification of the melanoma antigen MART-1 [27][28][29][30][31][32][33][34][35] (AAGIGILTV) to LAGIGILTV [20]. Making anchor motif modifications to include high affinity anchors, does not necessarily indicate that the peptide will bind with high affinity to the MHC as one must consider proximal/distal amino acids [21].…”
Section: 'Anchor' Residue Modificationmentioning
confidence: 99%