Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel; Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD 21702, USA.
Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD 21702, USA.
Curr Opin Struct Biol. 2023 Dec;83:102722. doi: 10.1016/j.sbi.2023.102722. Epub 2023 Oct 21.
Proteins exist as dynamic conformational ensembles. Here we suggest that the propensities of the conformations can be predictors of cell function. The conformational states that the molecules preferentially visit can be viewed as phenotypic determinants, and their mutations work by altering the relative propensities, thus the cell phenotype. Our examples include (i) inactive state variants harboring cancer driver mutations that present active state-like conformational features, as in K-Ras4B compared to other K-Ras4B mutations; (ii) mutants of the same protein presenting vastly different phenotypic and clinical profiles: cancer and neurodevelopmental disorders; (iii) alterations in the occupancies of the conformational (sub)states influencing enzyme reactivity. Thus, protein conformational propensities can determine cell fate. They can also suggest the allosteric drugs efficiency.
蛋白质存在于动态构象集合中。在这里,我们提出构象的倾向性可以预测细胞功能。分子优先访问的构象状态可以看作是表型决定因素,其突变通过改变相对倾向性来起作用,从而改变细胞表型。我们的例子包括:(i)携带致癌驱动突变的无活性状态变体呈现出类似于活性状态的构象特征,例如 K-Ras4B 与其他 K-Ras4B 突变相比;(ii)同一种蛋白质的突变体呈现出截然不同的表型和临床特征:癌症和神经发育障碍;(iii)构象(亚)状态的占据变化影响酶反应性。因此,蛋白质构象倾向性可以决定细胞命运。它们还可以提示变构药物的效率。