A bioinformatics best-practice analysis pipeline for epitope prediction and annotation
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Updated
Jul 9, 2026 - Nextflow
A bioinformatics best-practice analysis pipeline for epitope prediction and annotation
ML Webapp built in WWCode Hackathon.
Dry-lab computational pipeline for prioritizing viral CD8+ T-cell epitopes by predicted immunogenicity across nine viral pathogens (CMV, EBV, HBV, HCV, HPV, HIV-1, IAV, DENV, SARS-CoV-2). RF/XGBoost production track; GINEConv+ESM-2 GNN research track. OpenSSF Passing.
NetMHCIIpan MCP server for MHC Class II binding prediction
Python-based bioinformatics pipeline for comparative proteome analysis using overlapping peptide N-mers. Parses compressed FASTA proteomes, builds dataframe-centric peptide datasets, analyzes cross-species peptide occurrences, and generates statistical visualizations and reports with pandas and Biopython.
NetMHCpan MCP server for MHC Class I binding prediction
Structure-aware machine learning platform for PCV2 capsid epitope prediction using sequence, structural, and evolutionary features
AI-driven bioinformatics platform for viral sequence analysis, epitope discovery, and vaccine candidate design
Computational pipeline for antigen-specific tolerogenic vaccine design—predicting MHC-II epitopes, scoring tolerance potential, and assembling candidate multi-epitope mRNA constructs (starting with ITP).
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