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使用RESISTOR预测对ERK2抑制剂耐药的蛋白质突变的方案。

Protocol for predicting drug-resistant protein mutations to an ERK2 inhibitor using RESISTOR.

作者信息

Guerin Nathan, Kaserer Teresa, Donald Bruce R

机构信息

Department of Computer Science, Duke University, Durham, NC 27708, USA.

Institute of Pharmacy/Pharmaceutical Chemistry, University of Innsbruck, 6020 Innsbruck Austria.

出版信息

STAR Protoc. 2023 Apr 27;4(2):102170. doi: 10.1016/j.xpro.2023.102170.

Abstract

Prospective predictions of drug-resistant protein mutants could improve the design of therapeutics less prone to resistance. Here, we describe RESISTOR, an algorithm that uses structure- and sequence-based criteria to predict resistance mutations. We demonstrate the process of using RESISTOR to predict ERK2 mutants likely to arise in melanoma ablating the efficacy of the ERK1/2 inhibitor SCH779284. RESISTOR is included in the free and open-source computational protein design software OSPREY. For complete details on the use and execution of this protocol, please refer to Guerin et al...

摘要

对耐药蛋白突变体的前瞻性预测可以改进不易产生耐药性的治疗方法的设计。在此,我们描述了RESISTOR,一种使用基于结构和序列的标准来预测耐药突变的算法。我们展示了使用RESISTOR预测可能在黑色素瘤中出现的、使ERK1/2抑制剂SCH779284疗效降低的ERK2突变体的过程。RESISTOR包含在免费开源的计算蛋白质设计软件OSPREY中。有关此方案的使用和执行的完整详细信息,请参考Guerin等人的文献……

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee13/10173857/41de351f0922/fx1.jpg

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