摘要
背景:随着耐药细菌的出现,迫切需要开发新型抗生素。基于靶标的药物发现是药物开发过程中最常用的方法。然而,传统的药物靶点识别技术成本高昂且耗时。随着研究的继续,抗菌靶点识别的创新方法已经被开发出来,这使我们能够更容易、更快速地发现药物靶点。 方法:在这篇综述中,详细讨论了从组学数据库中寻找药物靶点的方法,包括原则、进程、优点和潜在的局限性。还讨论了噬菌体驱动和细菌细胞学分析方法的作用。此外,当前的文章展示了在创建用于抗菌目标识别的计算工具、机器学习算法和数据库方面所取得的进展。 结果:还描述了通过采用上述技术成功识别的细菌药物靶点。 结论:本次综述的目的是吸引合成化学家、生物学家和计算研究人员的兴趣,讨论和改进这些方法,以便更容易、更快地开发新药。
关键词: 抗菌、组学、机器学习、生物信息学、药物靶标、细菌细胞学分析。
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