↓ Skip to main content

PLOS

Ensemble-Based Computational Approach Discriminates Functional Activity of p53 Cancer and Rescue Mutants

Overview of attention for article published in PLoS Computational Biology, October 2011
Altmetric Badge

Mentioned by

patent
1 patent

Readers on

mendeley
71 Mendeley
citeulike
3 CiteULike
Title
Ensemble-Based Computational Approach Discriminates Functional Activity of p53 Cancer and Rescue Mutants
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002238
Pubmed ID
Authors

Özlem Demir, Roberta Baronio, Faezeh Salehi, Christopher D. Wassman, Linda Hall, G. Wesley Hatfield, Richard Chamberlin, Peter Kaiser, Richard H. Lathrop, Rommie E. Amaro

Abstract

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 (r(2) = 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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Korea, Republic of 1 1%
Italy 1 1%
France 1 1%
Canada 1 1%
India 1 1%
Japan 1 1%
Argentina 1 1%
Unknown 60 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Researcher 13 18%
Professor > Associate Professor 6 8%
Student > Master 6 8%
Professor 4 6%
Other 12 17%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 24%
Agricultural and Biological Sciences 13 18%
Chemistry 12 17%
Engineering 6 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 10%
Unknown 14 20%