Predict linear B-cell epitopes from protein sequences using ESM-2 embeddings.
npx skills add https://github.com/yjcyxky/biominer-skills --skill bepipred3
Please help me install this Agent Skill. Skill: bepipred3 Source: https://github.com/yjcyxky/biominer-skills/tree/main/bepipred3 Command: npx skills add https://github.com/yjcyxky/biominer-skills --skill bepipred3
BepiPred-3.0 provides rapid prediction of linear B-cell epitopes from protein sequences using ESM-2 embeddings, enabling researchers to identify immunogenic regions without manual per-sequence analysis.
Use the bepipred3 skill to predict epitopes for input sequences using the provided CLI and Docker image ghcr.io/open-prophetdb/bepipred3:arm64-blackwell.
High-intent search queries and answers about installing and using this skill.
B-cell epitope prediction is performed using ESM-2 embeddings to generate per-residue probability scores and interactive visualizations from input protein sequences, aiding vaccine design and antigen analysis.
Linear B-cell epitope prediction identifies immunogenic protein regions using ESM-2 embeddings to generate per-residue probability scores, enabling rapid screening of candidate sequences without manual analysis.
Yes, this Skill requires the GPU-accelerated Docker image ghcr.io/open-prophetdb/bepipred3:arm64-blackwell to process protein sequences and generate per-residue epitope probability scores and visualizations.
B-cell epitope prediction outputs include FASTA and CSV files containing per-residue probability scores, alongside interactive HTML visualizations for analyzing identified immunogenic regions.
Yes, you can input viral protein sequences to obtain per-residue probability scores and visualizations, enabling rapid screening and prioritization of candidate epitopes for experimental testing.
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