Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410083, PR China; Hunan Key Laboratory of Diagnostic and Therapeutic Drug Research for Chronic Diseases, Changsha 410078, PR China.
Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410083, PR China; The Third Xiangya Hospital, Central South University, Changsha 410083, PR China.
Trends Pharmacol Sci. 2024 Nov;45(11):1046-1060. doi: 10.1016/j.tips.2024.09.011. Epub 2024 Oct 25.
The increasing prevalence of antimicrobial resistance has intensified the need for novel antimicrobial drugs. Antimicrobial peptides (AMPs) are promising alternative antibiotics due to their broad-spectrum activity and slower resistance development. However, the time-consuming, costly development and challenge of systematic optimization limit their translation into the clinic. Recently, integrating computational methods have led to breakthroughs in the precise design and optimization of AMPs, reduced resource consumption, and accelerated AMP development process. We highlight the application of these integrated approaches in AMP molecule discovery, optimization, and delivery and demonstrate the synergy of these strategies to fuel AMP development.
抗菌药物耐药性的不断增加,加剧了对抗新型抗菌药物的需求。抗菌肽(AMPs)因其广谱活性和较慢的耐药性发展而成为很有前途的替代抗生素。然而,耗时、昂贵的开发和系统优化的挑战限制了它们在临床上的转化。最近,将计算方法整合起来,在 AMP 的精确设计和优化、减少资源消耗以及加速 AMP 开发过程方面取得了突破。我们重点介绍了这些综合方法在 AMP 分子发现、优化和传递中的应用,并展示了这些策略的协同作用,以推动 AMP 的发展。