Antimicrobial Combinations

Our database aims to bridge the gap between agent repositories and studies documenting the effect of antimicrobial combination therapies. Most notably, our primary aim is to compile data on the combination of antimicrobial agents, namely natural products such as AMP. To meet this purpose, we have developed a data curation workflow that combines text mining, manual expert curation and graph analysis and supports the reconstruction of AMP-Drug combinations. The initial release of the database focused on antimicrobial combinations that have been experimentally tested againstPseudomonas aeruginosa, Staphylococcus aureus, Escherichia coli, Listeria monocytogenes and Candida albicans, which are prominent pathogenic organisms and are well-known for their wide and growing resistance to conventional antimicrobials. Besides maintaining these data collections, we are extending literature screening to a wider collection of organisms.本数据库旨在弥合抗菌剂资源库与抗菌联合疗法效果相关研究之间的信息鸿沟。尤为核心的是，本库的首要目标是汇编抗菌剂联合使用的相关数据，具体涵盖以抗菌肽（AMP）为代表的天然产物类抗菌剂。为达成这一目标，我们开发了融合文本挖掘、人工专家编目与图分析的数据处理流程，可支持AMP-药物联合方案的重构工作。本数据库的初始版本聚焦于经实验验证的抗菌联合方案，测试对象为铜绿假单胞菌（Pseudomonas aeruginosa）、金黄色葡萄球菌（Staphylococcus aureus）、大肠埃希菌（Escherichia coli）、单核细胞增生李斯特菌（Listeria monocytogenes）以及白色念珠菌（Candida albicans）这五类极具代表性的病原微生物——它们因对传统抗菌药物产生广泛且日益严重的耐药性而广受关注。除维护现有数据集外，我们正将文献筛选范围拓展至更多种类的病原微生物。

搜集汇总

背景与挑战

背景概述

该数据库旨在整合关于抗菌药物组合（特别是如抗菌肽等天然产物）疗效的数据，以弥合现有药物库与相关研究之间的信息鸿沟。它通过结合文本挖掘、专家人工整理和图分析的工作流程来重建AMP-药物组合信息。数据库初始版本重点关注针对铜绿假单胞菌、金黄色葡萄球菌等几种具有广泛耐药性的主要病原体所进行的实验性抗菌组合测试。