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

dc.contributor.authorNinnutt Moonrinen_US
dc.contributor.authorNapat Songtaweeen_US
dc.contributor.authorSiriluk Rattanabunyongen_US
dc.contributor.authorSurasuk Chunsriviroten_US
dc.contributor.authorWanwimon Mokmaken_US
dc.contributor.authorSissades Tongsimaen_US
dc.contributor.authorKiattawee Choowongkomonen_US
dc.contributor.otherKasetsart Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherChulalongkorn Universityen_US
dc.contributor.otherThailand National Center for Genetic Engineering and Biotechnologyen_US
dc.date.accessioned2018-11-23T09:44:44Z
dc.date.available2018-11-23T09:44:44Z
dc.date.issued2015-03-27en_US
dc.description.abstract© Moonrin et al. 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.en_US
dc.identifier.citationBMC Bioinformatics. Vol.16, No.1 (2015)en_US
dc.identifier.doi10.1186/s12859-015-0528-xen_US
dc.identifier.issn14712105en_US
dc.identifier.other2-s2.0-84926283929en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/35483
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84926283929&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleUnderstanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analysesen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84926283929&origin=inwarden_US

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