ArticleProtein science : a publication of the Protein Society2025
A computational dynamic model of combination treatment for type II inhibitors with asciminib.
Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A computational dynamic model of combination treatment for type II inhibitors with asciminib.Protein science : a publication of the Protein Society · 2025Article
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3 authors.
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Abstract
Despite continuous strides forward in drug development, resistance to treatment looms large in the battle against cancer as well as communicable diseases. Chronic myeloid leukemia (CML) is treated with targeted therapy and treatment is personalized when resistance arises. It has been extensively studied and is used as a model for targeted therapy. In this study, we examine combination treatments of type II Abl1 inhibitors and asciminib (an allosteric regulator) through a computational model at patient relevant concentrations. Due to the separate binding sites of type II inhibitors and asciminib, we propose their combination treatment as potentially robust to resistance. We find that the simultaneous cobinding of type II inhibitors and asciminib is high in synergetic combinations. As an aid to designing and comparing combination treatments, we put forward an equation that expands on the previously published effective ratio of IC
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