AADB

Antimicrobial resistance is a global public health concern. The lack of innovations in antibiotic development has led to renewed interest in antibiotic adjuvants. However, there is no database to collect antibiotic adjuvants. Herein, we build a comprehensive database named Antibiotic Adjuvant DataBase (AADB) by manually collecting relevant literature. Specifically, AADB includes 3,035 combinations of antibiotics with adjuvants, covering 83 antibiotics, 226 adjuvants, and 325 bacterial strains. AADB provides user-friendly interfaces for searching and downloading. Users can easily obtain these datasets for further analysis. In addition, we also collected related datasets (e.g., chemogenomic and metabolomic data) and proposed a computational strategy to dissect these datasets. As a test case, we identified 10 candidates for minocycline, and 6 of 10 candidates are the known adjuvants that synergize with minocycline to inhibit the growth of E. coli BW25113. We hope that AADB can help users to identify effective antibiotic adjuvants. AADB is freely available at http://www.acdb.plus/AADB.

抗菌药物耐药性（Antimicrobial Resistance）是一项全球性公共卫生问题。抗生素研发领域的创新匮乏，使得抗生素佐剂再度引发研究兴趣。然而目前尚无专门用于收集抗生素佐剂的数据库。本研究通过手动检索相关文献，构建了一款综合性数据库——抗生素佐剂数据库（Antibiotic Adjuvant DataBase，AADB）。具体而言，AADB共收录3035组抗生素与佐剂的组合，涵盖83种抗生素、226种佐剂以及325株细菌菌株。该数据库提供了操作友好的检索与下载界面，用户可便捷获取相关数据集用于后续分析。此外，本研究还收集了相关组学数据集（如化学基因组学、代谢组学数据），并提出了一套用于解析此类数据集的计算策略。作为验证案例，我们筛选出10种米诺环素佐剂候选物，其中6种为已知可协同米诺环素抑制大肠杆菌BW25113生长的佐剂。我们期望AADB能够助力用户筛选高效的抗生素佐剂。该数据库可通过http://www.acdb.plus/AADB免费访问。

搜集汇总

背景与挑战

背景概述

AADB（Antibiotic Adjuvant DataBase）是一个针对抗生素佐剂的手动收集数据库，旨在应对全球抗生素耐药性问题。它包含3,035种抗生素与佐剂的组合，覆盖83种抗生素、226种佐剂和325种细菌菌株，并提供用户友好的搜索和下载功能。该数据库的目标是帮助用户设计准确的计算模型，以识别有效的抗生素佐剂。