Common cancer mutations R175H and R273H drive the p53 DNA-binding domain towards aggregation-prone conformations

Literature Information

Publication Date 2020-03-26
DOI 10.1039/C9CP06671C
Impact Factor 3.676
Authors

Le Li, Xuhua Li, Yiming Tang, Zenghui Lao, Jiangtao Lei, Guanghong Wei


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Abstract

The p53 protein is a tumor suppressor and the most often mutated protein in human cancers. Recent studies reported that p53 mutants, including two of the common cancer mutants (R175H and R273H), are more prone to aggregation than wild type (WT) p53 and their pathological aggregation can lead to diverse cancers. However, the underlying molecular mechanism is poorly understood. Herein, we investigated the structural and dynamic properties of R175H and R273H mutants of the p53 core domain (p53C) by performing extensive all-atom molecular dynamics simulations. We found that both R175H and R273H mutants exhibit a well preserved β-sheet structure, but a larger hydrophobic surface area and higher loop flexibility than WT p53C. These conformational properties are consistent with the structural features of aggregation-prone molten-globule states. Our data also provide the details on how the two mutations lead to an increased flexibility of loop2. Moreover, using dynamic network analysis, we identified the allosteric path through which the R273H mutation induces an increased flexibility of the distant N-terminal region of loop2. These results provide mechanistic insights into the high aggregation propensities of R175H and R273H mutants.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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