Ensemble-Based Computational Approach Discriminates Functional Activity of p53 Cancer and Rescue Mutants
Autor: | Linda V. Hall, Rommie E. Amaro, Richard Chamberlin, Richard H. Lathrop, G. Wesley Hatfield, Özlem Demir, Faezeh Salehi, Peter K. Kaiser, Roberta Baronio, Christopher D. Wassman |
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Rok vydání: | 2011 |
Předmět: |
Models
Molecular Protein Conformation genetics [Tumor Suppressor Protein p53] Mutant Computational biology Plasma protein binding Molecular Dynamics Simulation Biology medicine.disease_cause Physical Chemistry DNA-binding protein 03 medical and health sciences Cellular and Molecular Neuroscience Computational Chemistry 0302 clinical medicine Protein structure Neoplasms Chemical Biology Medicine and Health Sciences Genetics medicine Humans lcsh:QH301-705.5 Molecular Biology Ecology Evolution Behavior and Systematics 030304 developmental biology 0303 health sciences Mutation Ecology Point mutation Computational Biology Cancer medicine.disease Chemistry lcsh:Biology (General) Computational Theory and Mathematics 030220 oncology & carcinogenesis Modeling and Simulation genetics [Protein Binding] Tumor Suppressor Protein p53 Carcinogenesis genetics [Neoplasms] Research Article Protein Binding |
Zdroj: | PLoS Computational Biology Demir, Özlem; Baronio, Roberta; Salehi, Faezeh; Wassman, Christopher D; Hall, Linda; Hatfield, G Wesley; et al.(2011). Ensemble-based computational approach discriminates functional activity of p53 cancer and rescue mutants.. PLoS computational biology, 7(10), e1002238-e10022e1002238. UC Irvine: Institute for Clinical and Translational Science. Retrieved from: http://www.escholarship.org/uc/item/4nz7j4vb PLoS Computational Biology, Vol 7, Iss 10, p e1002238 (2011) |
ISSN: | 1553-7358 |
Popis: | The tumor suppressor protein p53 can lose its function upon single-point missense mutations in the core DNA-binding domain (“cancer mutants”). Activity can be restored by second-site suppressor mutations (“rescue mutants”). This paper relates the functional activity of p53 cancer and rescue mutants to their overall molecular dynamics (MD), without focusing on local structural details. A novel global measure of protein flexibility for the p53 core DNA-binding domain, the number of clusters at a certain RMSD cutoff, was computed by clustering over 0.7 µs of explicitly solvated all-atom MD simulations. For wild-type p53 and a sample of p53 cancer or rescue mutants, the number of clusters was a good predictor of in vivo p53 functional activity in cell-based assays. This number-of-clusters (NOC) metric was strongly correlated (r2 = 0.77) with reported values of experimentally measured ΔΔG protein thermodynamic stability. Interpreting the number of clusters as a measure of protein flexibility: (i) p53 cancer mutants were more flexible than wild-type protein, (ii) second-site rescue mutations decreased the flexibility of cancer mutants, and (iii) negative controls of non-rescue second-site mutants did not. This new method reflects the overall stability of the p53 core domain and can discriminate which second-site mutations restore activity to p53 cancer mutants. Author Summary p53 is a tumor suppressor protein that controls a central apoptotic pathway (programmed cell death). Thus, it is the most-mutated gene in human cancers. Due to the marginal stability of p53, a single mutation can abolish p53 function (“cancer mutants”), while a second mutation (or several) can restore it (“rescue mutants”). Restoring p53 function is a promising therapeutic goal that has been strongly supported by recent experimental results on mice. Understanding of the effects of p53 cancer and rescue mutations would be helpful for designing drugs that are able to achieve the same goal. The challenge is that cancer and rescue mutations are distributed widely in the protein, and experimental testing of all possible combinations of mutations is not feasible. This paper describes a simple computational metric that reflects the overall stability of the p53 core domain and can discriminate which second-site mutations restore activity to p53 cancer mutants. |
Databáze: | OpenAIRE |
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