The future of antibiotics begins with discovering new combinations.
The future of antibiotics begins with discovering new combinations.
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DOI：
10.1111/nyas.14649
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发表时间：
2021-07
影响因子：
5.2
通讯作者：
Blainey PC
中科院分区：
文献类型：
--
作者：
Zhu M;Tse MW;Weller J;Chen J;Blainey PC
Antibiotic resistance is a worldwide and growing clinical problem. With limited drug development in the antibacterial space, combination therapy has emerged as a promising strategy to combat multidrug‐resistant bacteria. Antibacterial combinations can improve antibiotic efficacy and suppress antibacterial resistance through independent, synergistic, or even antagonistic activities. Combination therapies are famously used to treat viral and mycobacterial infections and cancer. However, antibacterial combinations are only now emerging as a common treatment strategy for other bacterial infections owing to challenges in their discovery, development, regulatory approval, and commercial/clinical deployment. Here, we focus on discovery—where the sheer scale of combinatorial chemical spaces represents a significant challenge—and discuss how combination therapy can impact the treatment of bacterial infections. Despite these challenges, recent advancements, including new in silico methods, theoretical frameworks, and microfluidic platforms, are poised to identify the new and efficacious antibacterial combinations needed to revitalize the antibacterial drug pipeline. Here, we focus on discovery—where the sheer scale of combinatorial chemical spaces represents a significant challenge—and discuss how combination therapy can impact the treatment of bacterial infections. Despite these challenges, recent advancements, including new in silico methods, theoretical frameworks, and microfluidic platforms, are poised to identify the new and efficacious antibacterial combinations needed to revitalize the antibacterial drug pipeline.
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影响因子：
13.6
作者：
Cokol M;Kuru N;Bicak E;Larkins-Ford J;Aldridge BB
通讯作者：
Aldridge BB
DOI：
10.1126/science.aad3292
发表时间：
2016-01-01
期刊：
Science (New York, N.Y.)
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通讯作者：
Sabeti, Pardis C.
影响因子：
64.8
作者：
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通讯作者：
Kishony, Roy