Frontiers is a Swiss open-access publisher whose journals have surfaced a notable share of the year's peptide research. Coverage on this site has spanned several of the publisher's specialist titles: Frontiers in Cellular and Infection Microbiology for antimicrobial peptide reviews, Frontiers in Medicine for AMPs as anticancer agents and vaccine adjuvants, Frontiers in Endocrinology for real-world semaglutide cohorts in ESRD patients, and Frontiers in Drug Discovery for the April 2026 'Beyond GLP-1' review mapping underexplored peptide-receptor systems (apelin, spexin, phoenixin, relaxin-3, osteocalcin, irisin).
The publisher's open-access model means several of these reviews surface quickly into clinical and policy conversations, often before paywalled equivalents from larger publishers. Frontiers in Bioinformatics has separately become a venue for computational peptide-discovery work, including the Big Data / AI peptide discovery papers feeding the next generation of GLP-1, antimicrobial, and macrocyclic-peptide candidates.
Stories here cover peer-reviewed Frontiers content across the peptide therapeutic landscape. See #antimicrobial-peptides, #drug-discovery, and #beyond-glp-1.
A Frontiers in Bioinformatics review published March 17, 2026 from Tope Abraham Ibisanmi and colleagues at UNSW Sydney documents how computational antimicrobial peptide discovery has collapsed from decades to weeks. The review covers big-data mining, molecular dynamics simulations, and AI methods that capture complex sequence-activity relationships and predict novel AMPs from genomic and metagenomic data. The headline example: one large language model approach produced 18 de novo peptides of which 17 were active (94.4% hit rate) over a 48-day discovery cycle. The framing complements the broader AMP-as-AMR-response thesis with Aifeity, the University of Bonn, and Cesar de la Fuente at Penn — and lands as Cesar de la Fuente's Penn lab launches new generative AMR molecules into ESKAPE-pathogen testing.
A Frontiers in Drug Discovery review (April 10, 2026) catalogs underexplored peptide-receptor systems that the authors argue failed not for biological reasons but because of technical and conceptual barriers solvable with modern peptide engineering. Coverage spans metabolic and energy-balance peptides (apelin, spexin), appetite-regulating systems (peptide YY, oxyntomodulin), bone-muscle-fat crosstalk mediators (osteocalcin, irisin), and neuroendocrine-immune-metabolic peptides (phoenixin, relaxin-3). The argument: lessons from GLP-1 — stabilization, conjugation, and dosing innovation — now make these orphan receptor systems tractable. Companion essay from Bloomgarden in the Journal of Diabetes (2026, vol 18 e70204) frames the same opportunity from the clinical side, citing GLP-1 tolerability ceilings and the 10-20% non-responder problem that creates room for the next wave.
A Frontiers in Endocrinology multicenter retrospective cohort study (2026) reports real-world safety and effectiveness of semaglutide in patients with type 2 diabetes and end-stage renal disease — the population systematically excluded from FLOW (which capped at eGFR ≥ 25) and the SELECT pre-specified kidney composite analysis. ESRD patients comprise roughly 1% of the diabetic population but 7% of US healthcare spending; their cardiovascular event rates are among the highest documented. The cohort fills a clinical gap: prescribers managing dialysis-dependent patients have had to extrapolate from outcome trials that explicitly excluded the population. Work joins the SOUL oral-semaglutide CKD analysis as the fastest-growing GLP-1 evidence stream beyond obesity and T2D.
A January 2026 Frontiers in Cellular and Infection Microbiology review synthesized the case for antimicrobial peptides (AMPs) as the most promising response to antimicrobial resistance, which is responsible for nearly 5 million deaths annually and projected to double by 2050. The review emphasizes that AMPs' rapid, multi-target mechanism — primarily physical membrane disruption — produces significantly lower incidence of resistance emergence than traditional small-molecule antibiotics. The pipeline now exceeds 150 active candidates spanning AI-designed AMPs, lysin-derived peptides, and venom-derived sequences.