Mosaic Vaccine Designer

Mosaic Vaccine Designer generates polyvalent 'mosaic' protein antigens by computationally assembling fragments of natural HIV-1 sequences to maximize coverage of potential nine–amino-acid T-cell epitopes across diverse viral populations.

Key Features:

• Mosaic Protein Construction: Assembles mosaic proteins from fragments of natural sequences to produce native-like proteins that incorporate diverse sequence elements and multiple epitopes.
• Optimization of T-cell Epitope Coverage: Uses computational optimization methods to select and arrange sequence fragments to maximize coverage of potential nine–amino-acid T-cell epitopes.
• Enhanced Diversity Coverage: Achieves increased epitope coverage—for example, four mosaic proteins can perfectly match 74% of potential epitopes in global Gag sequences and match at least eight of nine positions for 87%, compared with 37% (9/9) and 67% (8/9) for a single natural Gag protein.
• Feasibility for Conserved Proteins: Demonstrates potential to achieve global coverage for conserved HIV-1 proteins, supporting application to highly variable viral antigens.

Scientific Applications:

• Vaccine antigen design for HIV-1: Generates candidate mosaic protein cocktails to optimize T-cell epitope coverage across diverse HIV-1 strains.
• Polyvalent vaccine development: Supports design of polyvalent antigens intended to elicit broader T-cell responses against genetically diverse pathogens.
• Design evaluation for conserved proteins: Assesses feasibility of compressing sequence diversity into a limited set of native-like proteins for conserved HIV-1 antigens.

Methodology:

Computational optimization selects and arranges sequence fragments from natural proteins into mosaic constructs to maximize coverage of nine–amino-acid T-cell epitopes.