{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T14:53:25Z","timestamp":1793199205138,"version":"4.5.0"},"reference-count":40,"publisher":"American Chemical Society (ACS)","issue":"19","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"name":"Nebraska Collaborative Initiative"},{"name":"Department Chair?s support of the database annual maintenance fee"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This letter compares the amino acid signatures of natural and artificial intelligence (AI)-predicted antimicrobial peptides. While natural peptides from different sources possess distinct signatures, the amino acid compositions of peptides predicted from venoms, amphibians, insects, and bacteria shared a common feature with higher leucine, lysine, and arginine similar to those of man-made synthetic peptides. This stunning finding underscores the need of the right data set for improving future AI prediction of genomic antimicrobial peptides.<\/jats:p>","DOI":"10.1021\/acs.jcim.6c02831","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T17:01:26Z","timestamp":1789750886000},"page":"12277-12281","source":"Crossref","is-referenced-by-count":1,"title":["AI Prediction of Future Antibiotics: Genome-Predicted\nAntimicrobial Peptides Are Stained with the Amino Acid Signature of\nMan-Made Synthetic Peptides"],"prefix":"10.1021","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4841-7927","authenticated-orcid":true,"given":"Guangshun","family":"Wang","sequence":"first","affiliation":[{"name":"University of Nebraska Medical Center , , , ,","place":["Omaha, Nebraska, United States, 68198"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"2026101208082056800_cit1","doi-asserted-by":"publisher","first-page":"1818","DOI":"10.7326\/ANNALS-25-02404","article-title":"Changes in Carbapenemase-Producing\nCarbapenem-Resistant Enterobacterales. 2019 to 2023","volume":"178","author":"Rankin","year":"2025","journal-title":"Ann. 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A.; Iqbal, Z.\n          AllTheBacteria: a community resource\nempowers biology and discovers novel peptide antibiotics.  bioRxiv Preprint, 2026. 10.1101\/2024.03.08.584059."},{"key":"2026101208082056800_cit13","doi-asserted-by":"publisher","first-page":"102685","DOI":"10.1016\/j.cbpa.2026.102685","article-title":"From generation\nto validation: Deep generative models for antimicrobial peptide discovery","volume":"93","author":"Sun","year":"2026","journal-title":"Curr. Opin Chem. 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D. T.; Li, S.; de la Fuente-Nunez, C.\n          Venomics\nAI: a computational exploration of global\nvenoms for antibiotic discovery.  bioRxiv Preprint, 2024. 10.1038\/s41467-025-60051-6.","DOI":"10.1101\/2024.12.17.628923"},{"key":"2026101208082056800_cit33","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1038\/s41587-022-01226-0","article-title":"Identification of antimicrobial\npeptides from the human gut microbiome using deep learning","volume":"40","author":"Ma","year":"2022","journal-title":"Nat. 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