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.
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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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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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