FoldBack (AISciLab, 2026)
github.com/aiscilab/foldbackTarget-aware peptide design framework that treats receptor sequence and structure as context via multimodal adapter tuning of protein language models (ESMC + ProteinMPNN features), with reinforcement-learning-based 3D dynamic feedback (ESMFold structure evaluation) to suppress unrealistic peptide conformations; ships with a systematic assessment pipeline covering peptide-target affinity, structure quality, physicochemical properties, diversity, and novelty (142+ stars, Apache 2.0, 2026)
Sourced from
- GitHub — github.com/aiscilab/foldback
- Awesome AI for Science — github.com/aiscilab/foldback
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