Scientists at the University of Virginia School of Medicine have used advanced computer modeling to enhance the precision of antibiotics drug delivery.
In a collaboration, the models comprehensively encompass pathogens, creating a repository of knowledge regarding their metabolic networks.
The researchers identified shared characteristics that point to a strong relationship between a bacterium’s environment and its functional behavior.
The ability to target specific bacteria is akin to a surgical approach in medicine, where interventions are precise and aimed at the exact source of a problem.
In their lab experiments, the researchers demonstrated targeted antibiotics' efficacy in inhibiting the growth of harmful bacteria that inhabit the stomach.
The implications of the new research could lead to the development and deployment of personalized treatments that minimize collateral damage to beneficial bacteria.
The integration of computer modeling with microbiology throws a promising pathway for sophistication in therapeutic design.
This model-based approach results in reducing the need for broad-spectrum antibiotics and creating a personalized approach to combatting antibiotic resistance.
The study has been published in the esteemed journal PLOS Biology.
The researchers hope to extend their findings to encompass a wider variety of pathogens, leading to the development of a new arsenal of precisely targeted antibiotics.