i. Peptide Slicing¶
Peptides of length 9–12 amino acids were generated from both the selected human protein and the microbial proteome. These peptides were used as input for downstream binding prediction and molecular mimicry screening. To balance biological relevance and broad coverage, two complementary peptide slicing strategies were applied:
Rule-free peptide slicing
Anchor-rule-based peptide slicing
The rule-free approach ensures broad exploration of the peptide space by generating all possible 9–12-mer peptides without applying any binding constraints. This allows potential mimicry candidates to be identified without bias. On the other hand, the anchor-rule-based approach applies known HLA-B27 anchor residue preferences to enrich for peptides with a higher likelihood of binding to the MHC groove.
Both strategies were applied consistently to human and microbial proteins, ensuring that all peptides were generated and evaluated under identical rules. This combined approach increases the robustness and credibility of downstream binding prediction and similarity analysis.
Peptide Slicing Rules¶
a. Rule-Free Peptide Slicing
In this approach, peptides were generated using a simple sliding window method without applying any positional constraints. This strategy allows unbiased sampling of all possible 9–12 mer peptides from the protein sequences. The goal of this method was to ensure that no potential mimicry candidate was missed during the initial screening.
b. Anchor-Rule-Based Peptide Slicing
In this approach, peptides were generated or sliced according to known HLA-B27 anchor residue preferences rule. This method enriches for peptides that are more likely to bind to HLA-B27 and anchor rules also helps focus the analysis on biologically plausible binders while reducing the total search space.
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