Suppr超能文献

量化药物组合在效价和疗效轴上的协同作用。

Quantifying Drug Combination Synergy along Potency and Efficacy Axes.

机构信息

Program in Chemical and Physical Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Center for Cancer Systems Biology at Vanderbilt, Vanderbilt University, Nashville, TN 37232, USA.

Program in Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA; Center for Cancer Systems Biology at Vanderbilt, Vanderbilt University, Nashville, TN 37232, USA.

出版信息

Cell Syst. 2019 Feb 27;8(2):97-108.e16. doi: 10.1016/j.cels.2019.01.003. Epub 2019 Feb 20.

Abstract

Two goals motivate treating diseases with drug combinations: reduce off-target toxicity by minimizing doses (synergistic potency) and improve outcomes by escalating effect (synergistic efficacy). Established drug synergy frameworks obscure such distinction, failing to harness the potential of modern chemical libraries. We therefore developed multi-dimensional synergy of combinations (MuSyC), a formalism based on a generalized, multi-dimensional Hill equation, which decouples synergistic potency and efficacy. In mutant-EGFR-driven lung cancer, MuSyC reveals that combining a mutant-EGFR inhibitor with inhibitors of other kinases may result only in synergistic potency, whereas synergistic efficacy can be achieved by co-targeting mutant-EGFR and epigenetic regulation or microtubule polymerization. In mutant-BRAF melanoma, MuSyC determines whether a molecular correlate of BRAFi insensitivity alters a BRAF inhibitor's potency, efficacy, or both. These findings showcase MuSyC's potential to transform the enterprise of drug-combination screens by precisely guiding translation of combinations toward dose reduction, improved efficacy, or both.

摘要

两种目标促使我们用药物组合来治疗疾病

通过最小化剂量(协同效力)来降低非靶向毒性,通过提高效果(协同疗效)来改善结果。既定的药物协同作用框架掩盖了这种区别,未能利用现代化学文库的潜力。因此,我们开发了组合的多维协同作用(MuSyC),这是一种基于广义多维 Hill 方程的形式主义,它将协同效力和疗效解耦。在突变型 EGFR 驱动的肺癌中,MuSyC 表明,将一种突变型 EGFR 抑制剂与其他激酶抑制剂联合使用可能只会导致协同效力,而通过共同靶向突变型 EGFR 和表观遗传调控或微管聚合则可以实现协同疗效。在突变型 BRAF 黑色素瘤中,MuSyC 确定了 BRAFi 不敏感的分子相关性是否会改变 BRAF 抑制剂的效力、疗效或两者兼而有之。这些发现展示了 MuSyC 的潜力,通过精确地指导组合向减少剂量、提高疗效或两者兼而有之的方向转化,从而改变药物组合筛选的格局。

相似文献

1
Quantifying Drug Combination Synergy along Potency and Efficacy Axes.量化药物组合在效价和疗效轴上的协同作用。
Cell Syst. 2019 Feb 27;8(2):97-108.e16. doi: 10.1016/j.cels.2019.01.003. Epub 2019 Feb 20.
6
A Computational Approach for Identifying Synergistic Drug Combinations.一种用于识别协同药物组合的计算方法。
PLoS Comput Biol. 2017 Jan 13;13(1):e1005308. doi: 10.1371/journal.pcbi.1005308. eCollection 2017 Jan.
9

引用本文的文献

5
Scaling up drug combination surface prediction.扩大药物组合表面预测。
Brief Bioinform. 2025 Mar 4;26(2). doi: 10.1093/bib/bbaf099.

本文引用的文献

10
Combination therapeutics in complex diseases.复杂疾病中的联合疗法。
J Cell Mol Med. 2016 Dec;20(12):2231-2240. doi: 10.1111/jcmm.12930. Epub 2016 Sep 7.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验