Design protein sequences for a fixed backbone with ProteinMPNN (Dauparas 2022) — message-passing inverse folding that outputs sequences predicted to fold to a given structure, with fixed positions, tied/symmetric chains, amino-acid bias, and a soluble-model variant.
Install
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-proteinmpnnnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-proteinmpnn -a claude-code -gnpx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-proteinmpnn -a codex -ggemini skills install https://github.com/AlterLab-IEU/AlterLab-Academic-Skills.git --path skills/bioinformatics/alterlab-proteinmpnngh skill install AlterLab-IEU/AlterLab-Academic-Skills alterlab-proteinmpnngit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills /tmp/AlterLab-IEU__AlterLab-Academic-Skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-proteinmpnn ~/.claude/skills/alterlab-proteinmpnn # Claude Code
cp -R /tmp/AlterLab-IEU__AlterLab-Academic-Skills/skills/bioinformatics/alterlab-proteinmpnn ~/.agents/skills/alterlab-proteinmpnn # Codex, Cursor, Gemini CLI, Copilot, OpenCode