期刊论文详细信息
BMC Bioinformatics
Understanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analyses
Ninnutt Moonrin5  Napat Songtawee1  Siriluk Rattanabunyong5  Surasuk Chunsrivirot3  Wanwimon Mokmak2  Sissades Tongsima2  Kiattawee Choowongkomon4 
[1] Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
[2] Genome Technology Research Unit, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency (NSTDA), 113 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Pathum Thani 12120, Khlong Luang, Thailand
[3] Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok 10330, Pathum Wan, Thailand
[4] Center for Advanced Studies in Tropical Natural Resources, National Research, University-Kasetsart University, Kasetsart University, Bangkok 10900, Chatuchak, Thailand
[5] Department of Biochemistry, Faculty of Science, Kasetsart University, 50 Ngam, Wong Wan Rd, Bangkok 10900, Chatuchak, Thailand
关键词: Molecular dynamics simulations;    MIG-6 segment1;    Tyrosine kinase;    Inhibitor;    Cancer;    EGFR;   
Others  :  1160561
DOI  :  10.1186/s12859-015-0528-x
 received in 2014-09-08, accepted in 2015-03-06,  发布年份 2015
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【 摘 要 】

Background

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).

Results

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.

Conclusions

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.

【 授权许可】

   
2015 Moonrin et al.; licensee BioMed Central.

【 预 览 】
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