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Developing story · 2 episodes · 22 Sept to 30 Sept

AI Engineered Peptides and Benchmarking Tools

Researchers are leveraging artificial intelligence to engineer novel peptide structures, initially achieving significant yield improvements in nonribosomal peptide synthesis. The latest development introduces Mirror-Score, a benchmarking tool that validates AI-designed D-peptides against real-world affinity data.

  1. Mirror-Score benchmarks D-peptide design tools against real-world affinity

    Researchers introduced Mirror-Score, a new scoring method for evaluating D-peptide designs in drug discovery. The tool assesses heterochiral D-peptide/L-protein complexes and includes a public…

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  2. Generative AI designs de novo thiolation domains that boost nrps yields up to ~3‑fold

    Researchers combined pretrained protein generators—ESM3, ProteinMPNN and EvoDiff—with iterative design‑build‑test‑learn cycles to create 76 new thiolation (T) domains for non‑ribosomal peptide…

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