毒力
生物
抗生素耐药性
毒力因子
抗药性
微生物学
抗生素
计算生物学
遗传学
基因
作者
Siyu Zhou,Бо Лю,Dandan Zheng,Lihong Chen,Jian Yang
摘要
Abstract With the escalating crisis of bacterial multidrug resistance, anti-virulence therapeutic strategies have emerged as a highly promising alternative to conventional antibiotic treatments. Anti-virulence compounds are specifically designed to target virulence factors (VFs), disarming pathogens without affecting bacterial growth and thus reduce the selective pressure for resistance development. However, due to the complexity of bacterial pathogenesis, no anti-virulence small molecules have been approved for clinical use thus far, despite the documentation of hundreds of potential candidates. To provide valuable reference resources for drug design, repurposing, and target selection, the virulence factor database (VFDB, http://www.mgc.ac.cn/VFs/) has systematically collected public data on anti-virulence compounds through extensive literature mining, and further integrated this information with its existing knowledge of bacterial VFs. To date, the VFDB has curated a comprehensive dataset of 902 anti-virulence compounds across 17 superclasses reported by 262 studies worldwide. By cross-linking the current knowledge of bacterial VFs with information on relevant compounds (e.g. classification, chemical structure, molecular targets and mechanisms of action), the VFDB aims to bridge the gap between chemists and microbiologists, providing crucial insights for the development of innovative and effective antibacterial therapies to combat bacterial infections and address antibiotic resistance.
科研通智能强力驱动
Strongly Powered by AbleSci AI