The Peptide Masterclass: What the Science Actually Says
A physician walks through the history and published clinical trial data on peptides, compound by compound, separating stronger evidence from early-stage findings.
Read at source →Research
A daily selection of peptide research news, papers and educational videos, newest first. Each item links to the original source.
Summaries of third-party research news for information only. Not medical advice.
A physician walks through the history and published clinical trial data on peptides, compound by compound, separating stronger evidence from early-stage findings.
Read at source →A long-form Huberman Lab conversation with an internal medicine physician about peptide science and the current state of the evidence.
Read at source →Researchers describe peptide-based liquid droplets (coacervates) designed to release their cargo inside cells when cut by the enzyme cathepsin B. The work explores peptide materials as intracellular delivery systems.
Read at source →Hokkaido University researchers identified a short peptide, EVYR, released when a red alga protein is digested, which inhibited the enzyme DPP-IV in laboratory tests.
Read at source →A deep learning model was used to design fatty-acid-modified peptides; 44 of 46 synthesised candidates showed antimicrobial activity in laboratory testing. The authors present it as a general approach for computational lipopeptide discovery.
Read at source →A University of Toronto team received US$2.3 million from Google.org to build an open-access peptide binding database and AI model. The aim is to help researchers predict which peptides bind to target proteins.
Read at source →Chemists prepared a series of lipidated teriparatide analogues using site-specific ligation chemistry. Several retained activity comparable to the native peptide in preclinical tests, and one showed improved serum stability.
Read at source →A commentary in ChemBioChem argues that P3, a peptide fragment long considered harmless, can form fibrils faster than amyloid beta. The author calls for more research into its role.
Read at source →Researchers present PepOpt, an interpretable machine learning framework for optimising peptides that include noncanonical amino acids across extremely large design spaces.
Read at source →A UC San Diego study in Molecular Therapy reports that the peptide catestatin reduced tau and amyloid accumulation in mouse models. The researchers stress the findings are preclinical.
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