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Understanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analyses

Overview of attention for article published in BMC Bioinformatics, March 2015
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Title
Understanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analyses
Published in
BMC Bioinformatics, March 2015
DOI 10.1186/s12859-015-0528-x
Pubmed ID
Authors

Ninnutt Moonrin, Napat Songtawee, Siriluk Rattanabunyong, Surasuk Chunsrivirot, Wanwimon Mokmak, Sissades Tongsima, Kiattawee Choowongkomon

Abstract

Epidermal growth factor receptor (EGFR) signalling plays a major role in biological processes, including cell proliferation, differentiation and survival. Since the over-expression of EGFR causes human cancers, EGFR is an attractive drug target. A tumor suppressor endogenous protein, MIG-6, is known to suppress EGFR over-expression by binding to the C-lobe of EGFR kinase. Thus, this C-lobe of the EGFR kinase is a potential new target for EGFR kinase activity inhibition. In this study, molecular dynamics (MD) simulations and binding free energy calculations were used to investigate the protein-peptide interactions between EGFR kinase and a 27-residue peptide derived from MIG-6_s1 segment (residues 336-362). These 27 residues of MIG-6_s1 were modeled from the published MIG-6 X-ray structure. The binding dynamics were detailed by applying the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method to predict the binding free energy. Both van der Waals interactions and non-polar solvation were favorable driving forces for binding process. Six residues of EGFR kinase and eight residues of MIG-6_s1 residues were shown to be responsible for interface binding in which we investigated per residue free energy decomposition and the results from the computational alanine scanning approach. These residues also had higher hydrogen bond occupancies than other residues at the binding interface. The results from the aforementioned calculations reasonably agreed with the previous experimental mutagenesis studies. Molecular dynamics simulations were used to investigate the interactions of MIG-6_s1 to EGFR kinase domain. Our study provides an insight into such interactions that is useful in guiding the design of novel anticancer therapeutics. The information on our modelled peptide interface with EGFR kinase could be a possible candidate for an EGFR dimerization inhibitor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Canada 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Researcher 6 21%
Student > Bachelor 4 14%
Professor > Associate Professor 3 10%
Student > Master 2 7%
Other 3 10%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 28%
Chemistry 5 17%
Medicine and Dentistry 4 14%
Agricultural and Biological Sciences 2 7%
Computer Science 2 7%
Other 2 7%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 March 2015.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from BMC Bioinformatics
#6,311
of 7,281 outputs
Outputs of similar age
#192,814
of 263,558 outputs
Outputs of similar age from BMC Bioinformatics
#128
of 139 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.