Hot in Peptide Research: October 17, 2026 πŸ”₯ | BioLabs Research
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πŸ”₯ Hot Today in Peptide Research

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Stick and ribbon render of the 20-residue Trp-cage miniprotein (PDB 1L2Y)

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Benchmark of 10 public antimicrobial peptide MIC predictors finds ranking more reliable than exact values

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Photo: Rsparks3 / Wikimedia Commons (CC0) / own upload

Researchers at Hunan Normal University reported in Small Methods on 15 October an out-of-the-box benchmark of 10 publicly released tools that predict antimicrobial peptide minimum inhibitory concentrations from sequence. Most showed poor absolute MIC regression and limited transfer to an external dataset, while selected tools kept useful ranking and virtual-screening enrichment; reproducibility of the published implementations also varied. The authors position the tools as early screening filters, not substitutes for measured MICs.

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NuXLApp puts protein-nucleic acid crosslinking mass spectrometry analysis in one open-source web app

Modular HPLC instrument stack with pumps and detectors

Photo: Kjaergaard at English Wikipedia / Wikimedia Commons (Public domain) / own upload

Researchers at the University of TΓΌbingen, the Max Planck Institute for Multidisciplinary Sciences and University Medical Center GΓΆttingen reported in Protein Science on 15 October NuXLApp, which combines the NuXL crosslink search engine, machine-learning rescoring, DIA spectral-library generation and interactive dashboards in shareable workspaces. On an E. coli peptide-RNA example dataset, rescoring raised identifications from 972 to 1,054 crosslink spectrum matches at 1% FDR. The code is BSD-licensed on GitHub.

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FRET sensor and AI peptide design combined to screen inhibitors of the Zika virus NS2B-NS3 protease

Ribbon render of the Zika virus NS2B-NS3 protease with a bound inhibitor in sticks (PDB 5LC0)

Photo: Image: BioLabs Research, rendered from PDB 5LC0 (RCSB PDB, CC0) / own upload

Researchers at Universidad Peruana de Ciencias Aplicadas in Lima reported in Scientific Reports on 15 October a recombinant FRET-based sensor for the Zika virus NS2B-NS3 protease, paired with de novo peptide generation (RFdiffusion, ProteinMPNN) and computational filtering by docking, AlphaFold-3 co-folding and molecular dynamics. Enzyme-assay screening found three candidate peptide inhibitors, the strongest with an IC50 of 214 micromolar. The study is an in vitro biochemistry and design workflow.

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Solid-state NMR review shows peptaibol length and lipid mix decide membrane orientation and oligomer size

Ribbon render of a voltage-gated potassium channel assembly (PDB 2R9R)

Photo: Image: BioLabs Research, rendered from PDB 2R9R (RCSB PDB, CC0) / own upload

Researchers at the University of Strasbourg and CNRS reviewed in the Journal of Peptide Science on 16 October solid-state NMR work on Aib-rich fungal peptaibols in lipid bilayers. Alamethicin mostly adopts transmembrane alignments and forms dimers or pentamers depending on concentration, while shorter peptaibols such as trichogin lie parallel to the surface and form in-plane tetramers; in a bacterial-membrane mimic even alamethicin lies flat. The work is model-membrane biophysics.

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MAOMAO harmonises peptide toxicity annotations from 56 sources into one FAIR, ontology-guided resource

Ribbon render of two melittin peptide helices (PDB 2MLT)

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Researchers at Universidad de Magallanes and Universidad del Desarrollo in Chile, with PEACCEL in France, reported in Frontiers in Pharmacology on 16 October MAOMAO, which maps toxicity annotations for 71,857 unique peptide sequences onto eight endpoints with evidence states, provenance, descriptors, protein-language-model embeddings and benchmark splits. The data are on Zenodo and the code on GitHub under an MIT licence; the authors note the splits are not similarity-controlled.

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Astral analyzer benchmarked for metaproteomics on a 30-organism ground-truth microbial community

Thermal ionization mass spectrometer in an analytical laboratory

Photo: Radiogenic / Wikimedia Commons (CC0) / own upload

Researchers at Woods Hole Oceanographic Institution, the University of Minnesota, North Carolina State University and Thermo Fisher Scientific reported in the Journal of the American Society for Mass Spectrometry on 14 October a data-independent acquisition benchmark of an asymmetric track lossless (Astral) mass analyzer on a defined community of 30 microorganisms. Compared with an Orbitrap Fusion it improved depth and accuracy with acceptable precision; FAIMS added peptide identifications but cost precision and throughput.

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