Literature DB >> 26121158

Structural Stability and Flexibility Direct the Selection of Activating Mutations in Epidermal Growth Factor Receptor Kinase.

Antonella Paladino1, Giulia Morra1, Giorgio Colombo1.   

Abstract

Herein we investigate the potential of novel methods of molecular dynamics analysis to provide information on the key factors that underlie the preferential localization and the effects of mutations modulating protein activities. Epidermal growth factor receptor (EGFR) kinases are selected as a test case. The combined analysis of protein energetics and internal dynamics indicates a clear polarization in the native protein, whereby a highly stable and ordered scaffold in one domain, namely the C-lobe, is combined to a flexible and loosely stabilized domain, the N-lobe. The subdivision in two portions with different properties directs the presence of point mutations mainly to the N-lobe. This allows modulating protein flexibility so that the protein can more efficiently sample the conformations necessary for substrate recognition, while leaving the stability of the protein unperturbed. In this context, comparative simulations of EGFR in the wild type sequence and in the presence of the activating oncogenic mutation G719S reveal flexibility changes in several key regions, involving in particular the part of the kinase devoted to the regulation of substrate recognition (regulatory core) and an increase in the number of stabilizing interactions in the N-lobe for the activated mutant. Our approaches represent a promising and simple strategy toward rationalizing the effects of mutations in modulating enzymatic activities.

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Year:  2015        PMID: 26121158     DOI: 10.1021/acs.jcim.5b00270

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  6 in total

1.  Hierarchical Organization Endows the Kinase Domain with Regulatory Plasticity.

Authors:  Pau Creixell; Jai P Pandey; Antonio Palmeri; Moitrayee Bhattacharyya; Marc Creixell; Rama Ranganathan; David Pincus; Michael B Yaffe
Journal:  Cell Syst       Date:  2018-09-19       Impact factor: 10.304

2.  Atomistic simulations and network-based modeling of the Hsp90-Cdc37 chaperone binding with Cdk4 client protein: A mechanism of chaperoning kinase clients by exploiting weak spots of intrinsically dynamic kinase domains.

Authors:  Josh Czemeres; Kurt Buse; Gennady M Verkhivker
Journal:  PLoS One       Date:  2017-12-21       Impact factor: 3.240

3.  Ensemble-based modeling and rigidity decomposition of allosteric interaction networks and communication pathways in cyclin-dependent kinases: Differentiating kinase clients of the Hsp90-Cdc37 chaperone.

Authors:  Gabrielle Stetz; Amanda Tse; Gennady M Verkhivker
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

Review 4.  Structure and Dynamics of the EGF Receptor as Revealed by Experiments and Simulations and Its Relevance to Non-Small Cell Lung Cancer.

Authors:  Marisa L Martin-Fernandez; David T Clarke; Selene K Roberts; Laura C Zanetti-Domingues; Francesco L Gervasio
Journal:  Cells       Date:  2019-04-05       Impact factor: 6.600

5.  Simple Model of Protein Energetics To Identify Ab Initio Folding Transitions from All-Atom MD Simulations of Proteins.

Authors:  Massimiliano Meli; Giulia Morra; Giorgio Colombo
Journal:  J Chem Theory Comput       Date:  2020-08-03       Impact factor: 6.006

Review 6.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
  6 in total

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