🔥 Hot Today in Peptide Research

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SK pharmteco commits more than $200 million to U.S. small-molecule and peptide capacity

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SK pharmteco announced on 30 September 2026 a five-year U.S. investment plan of more than $200 million to expand development and manufacturing for small molecules and peptides. The company said the plan includes new development laboratories, GMP kilo-scale peptide capacity with advanced liquid chromatography targeted for late 2026, upgraded small-molecule manufacturing suites, and infrastructure and sustainability spending, and that it expects to create about 100 long-term skilled U.S. jobs. The release frames the programme as complementary to earlier California peptide, Ireland and South Korea investments.

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PepAD package designs amyloid-forming self-assembling peptides from predefined backbones

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Researchers at North Carolina State University reported in the Journal of Chemical Information and Modeling on 12 October a user-facing PepAD (Peptide Assembly Design) package: a Monte Carlo tool that designs self-assembling peptides from predefined amyloid backbones. Users can set initial structure, amino-acid composition and constraints; the paper walks through compiling, running and interpreting outputs, and illustrates antiparallel-fibril designs with and without single-site constraints. The work is computational software for materials-oriented peptide design.

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Peptide-like DNA-encoded library of 403,200 compounds guided by building-block diversity model

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Researchers at Uppsala University, KTH and SciLifeLab reported in ACS Medicinal Chemistry Letters on 12 October a three-cycle peptide-like DNA-encoded library of 403,200 compounds. A chemical-space model over 4,774 commercial amino-acid building blocks flagged underrepresented residues so the team could broaden physicochemical diversity before split-and-pool synthesis. Affinity selections against three purified protein targets, including carbonic anhydrase II, recovered a known sulfonamide pharmacophore. The paper is a library-design and selection methods report.

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PepOpt machine-learning framework ranks peptide sequences that include noncanonical amino acids

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Researchers at Texas Tech University and Merck Discovery Chemistry reported in npj Drug Discovery on 12 October PepOpt, an interpretable machine-learning framework that combines molecule-based and sequence-based peptide representations in linear models and uses dynamic programming to explore very large noncanonical amino-acid design spaces. Predictions decompose into residue-level contributions and can score ncAAs absent from training when their substructures are present. The study is computational methods work, not a clinical report.

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Open dataset pairs peptide–HLA binding affinities with Rosetta structural ensembles

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Researchers at Vanderbilt University and Leipzig University reported in Scientific Data on 12 October a curated public dataset that pairs quantitative peptide–HLA class I binding affinities from the Immune Epitope Database with Rosetta FlexPepDock structural ensembles. The resource covers 95 HLA-A/B/C alleles, 25,622 unique peptides and 112,561 peptide–allele pairs, each with a 25-decoy ensemble. It is released to support training and benchmarking of structure-aware binding models and is a data-resource paper.

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Modular synthesis builds antimicrobial peptidomimetics that disrupt bacterial membranes

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Researchers at the University of Parma and the Helmholtz Centre for Infection Research reported in the Journal of Medicinal Chemistry on 8 October a library of antimicrobial peptidomimetics inspired by magainin-related and brilacidin-like designs. Side-chain length proved important for insertion into phospholipid bilayers. A modular route produced diverse analogues for structure–activity work; compounds were tested against clinically relevant pathogens in laboratory assays, with preliminary data pointing to a membranolytic mechanism. The study is synthetic and in vitro microbiology.