@article{757c2d71f202408cbe43c359a4839713,
title = "Cell phenotypes can be predicted from propensities of protein conformations",
abstract = "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-Ras4BG12V compared to other K-Ras4BG12X 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.",
keywords = "Cancer, Cell fate, Conformational ensembles, Neurodevelopmental disorders, Occupancy, RASopathies",
author = "Ruth Nussinov and Yonglan Liu and Wengang Zhang and Hyunbum Jang",
note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",
year = "2023",
month = dec,
doi = "10.1016/j.sbi.2023.102722",
language = "אנגלית",
volume = "83",
journal = "Current Opinion in Structural Biology",
issn = "0959-440X",
publisher = "Elsevier Ltd.",
}