甲氧沙林
虚拟筛选
药理学
心力衰竭
医学
生物信息学
内科学
药物发现
生物
皮肤病科
银屑病
作者
Yunyuan Huang,Xin Chen,Jin Yang,Yue Yao,Manjiong Wang,Taotao Lu,Xiao Li,Jiqun Wang,Sicong Qiao,Donglei Shi,Xiaokang Li,Jian Li,Yixiang Xu
标识
DOI:10.1021/acs.jcim.4c00670
摘要
Combination therapy is increasingly favored by pharmaceutical companies and researchers as an effective way to quickly discover new drugs with excellent efficacy, especially in the treatment of complex diseases. Previously, we successfully developed a computational screening method to identify such combinations, although it fell short in elucidating their synergistic mechanisms. In this work, we have transitioned to a highest single agent (HSA) synergy model for network screening, which streamlines the discovery of promising combinations and facilitates the investigation of their synergistic effects. Through this refined approach, the trimebutine-methoxsalen combination emerged as a promising candidate for heart failure (HF) treatment, exhibiting significant
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