biostudies-literatureUnknown26(11)Mao YChinese Academy of SciencesHubei Province Natural Science FoundationAnhui Medical UniversityAntibiotic resistance genes (ARGs) are emerging pollutants present in various environments. Identifying ARGs has become a growing concern in recent years. Several databases, including the Antibiotic Resistance Genes Database (ARDB), Comprehensive Antibiotic Resistance Database (CARD), and Structured Antibiotic Resistance Genes (SARG), have been applied to detect ARGs. However, these databases have limitations, which hinder the comprehensive profiling of ARGs in environmental samples. To address these issues, we constructed a non-redundant antibiotic resistance genes database (NRD) by consolidating sequences from ARDB, CARD, and SARG. We identified the homologous proteins of NRD from Non-redundant Protein Database (NR) and the Protein DataBank Database (PDB) and clustered them to establish iScience108141https://www.ebi.ac.uk/biostudies/studies/S-EPMC10590964biostudies-literatureNCRD: A non-redundant comprehensive database for detecting antibiotic resistance genes.PMC10590964Liu XHan MZhang NWang ZMao YfalseNCRD: A non-redundant comprehensive database for detecting antibiotic resistance genes.Antibiotic resistance genes (ARGs) are emerging pollutants present in various environments. Identifying ARGs has become a growing concern in recent years. Several databases, including the Antibiotic Resistance Genes Database (ARDB), Comprehensive Antibiotic Resistance Database (CARD), and Structured Antibiotic Resistance Genes (SARG), have been applied to detect ARGs. However, these databases have limitations, which hinder the comprehensive profiling of ARGs in environmental samples. To address these issues, we constructed a non-redundant antibiotic resistance genes database (NRD) by consolidating sequences from ARDB, CARD, and SARG. We identified the homologous proteins of NRD from Non-redundant Protein Database (NR) and the Protein DataBank Database (PDB) and clustered them to establish 2023-01-01T00:00:00Z2023 Nov2026-05-28T11:15:27.594Z2025-04-05T11:47:53.759ZS-EPMC105909643787681010.1016/j.isci.2023.108141