Literature DB >> 20873738

Modeling the relationship between the p53 C-terminal domain and its binding partners using molecular dynamics.

William J Allen1, Daniel G S Capelluto, Carla V Finkielstein, David R Bevan.   

Abstract

Fifty percent of all cancer cases result from mutations of the TP53 gene, which encodes the tumor suppressor p53, and it is hypothesized that the p53-mediated checkpoint pathway is compromised in most of the remaining cases. The p53 C-terminal domain (CTD) is an important site of p53 regulation but by nature is difficult to study, as it is intrinsically disordered. In this study, we performed molecular dynamics simulations on the p53 CTD and five known regulatory binding partners. We identified distinct trends in fluctuation within and around the p53 CTD binding site on each partner demonstrating a behavior that facilitates association. Further, we present evidence that the size of the hydrophobic pocket in each p53 CTD binding site governs the secondary structure of the p53 CTD when in the bound state. This information will be useful for predicting new binding partners for the p53 CTD, identifying interacting regions within other known partners, and discovering inhibitors that provide additional points of control over p53 activity.

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Year:  2010        PMID: 20873738     DOI: 10.1021/jp1011445

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  9 in total

Review 1.  Structural Evolution and Dynamics of the p53 Proteins.

Authors:  Giovanni Chillemi; Sebastian Kehrloesser; Francesca Bernassola; Alessandro Desideri; Volker Dötsch; Arnold J Levine; Gerry Melino
Journal:  Cold Spring Harb Perspect Med       Date:  2017-04-03       Impact factor: 6.915

2.  Binding of two intrinsically disordered peptides to a multi-specific protein: a combined Monte Carlo and molecular dynamics study.

Authors:  Iskra Staneva; Yongqi Huang; Zhirong Liu; Stefan Wallin
Journal:  PLoS Comput Biol       Date:  2012-09-13       Impact factor: 4.475

3.  Variation of free-energy landscape of the p53 C-terminal domain induced by acetylation: Enhanced conformational sampling.

Authors:  Shinji Iida; Tadaaki Mashimo; Takashi Kurosawa; Hironobu Hojo; Hiroya Muta; Yuji Goto; Yoshifumi Fukunishi; Haruki Nakamura; Junichi Higo
Journal:  J Comput Chem       Date:  2016-10-13       Impact factor: 3.376

Review 4.  Roles of computational modelling in understanding p53 structure, biology, and its therapeutic targeting.

Authors:  Yaw Sing Tan; Yasmina Mhoumadi; Chandra S Verma
Journal:  J Mol Cell Biol       Date:  2019-04-01       Impact factor: 6.216

Review 5.  Studies on Molecular Dynamics of Intrinsically Disordered Proteins and Their Fuzzy Complexes: A Mini-Review.

Authors:  Kota Kasahara; Hiroki Terazawa; Takuya Takahashi; Junichi Higo
Journal:  Comput Struct Biotechnol J       Date:  2019-06-13       Impact factor: 7.271

6.  Molecular dynamics of the full-length p53 monomer.

Authors:  Giovanni Chillemi; Pavel Davidovich; Marco D'Abramo; Tazhir Mametnabiev; Alexander Vasilievich Garabadzhiu; Alessandro Desideri; Gerry Melino
Journal:  Cell Cycle       Date:  2013-09-05       Impact factor: 4.534

Review 7.  Molecular dynamic simulation insights into the normal state and restoration of p53 function.

Authors:  Ting Fu; Hanyi Min; Yong Xu; Jianzhong Chen; Guohui Li
Journal:  Int J Mol Sci       Date:  2012-08-03       Impact factor: 6.208

8.  Acetylation of lysine 382 and phosphorylation of serine 392 in p53 modulate the interaction between p53 and MDC1 in vitro.

Authors:  Or David Shahar; Ronen Gabizon; Oren Feine; Raphael Alhadeff; Assaf Ganoth; Liron Argaman; Elee Shimshoni; Assaf Friedler; Michal Goldberg
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

9.  Long range recognition and selection in IDPs: the interactions of the C-terminus of p53.

Authors:  Srinivasaraghavan Kannan; David P Lane; Chandra S Verma
Journal:  Sci Rep       Date:  2016-03-31       Impact factor: 4.379

  9 in total

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