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      Reducing IRS-1 Activation Cause Mutation of Tyrosine Kinase Domain hINSR Gene on Type-2 Diabetes Mellitus Patients

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          Abstract

          The purpose of this study is to examine the effect of mutation on tyrosine kinase hINSR gene of DM Type 2 patients reduce the IRS- 1 activation by in silico analysis. Blood DNA of DM Type 2 patients from Saeful Anwar Hospital Malang were amplified and sequenced by specific primers of tyrosine kinase domain of hINSR gene. These gene sequences were converted to protein sequence by BLAST and the IRS-1 protein sequence is retrieved from NCBI database. Both of the protein sequence was aligned by using Bio edit version 5.0.6. The model of three dimension protein was predicted by SWISS MODEL webserver, and visualized the structure alteration by using Pymol 0.99rc6 and Hex 5.0, and then superimpose of the hINSR and IRS-1 interaction were examined by docking using Hex 5.0. The results showed that one substitution and one deletion of 8-3F patient exon-22 hINSR gene tyrosine kinase domain cause loss of four helixes and three coils structures on tyrosine kinase hINSR protein. Six-deletions and six-substitutions on same gene domain of DMK9 patient changed the two helixes became coil structure. The binding energy of hINSR tyrosine kinase with IRS-1 of normal is E= -494.67 kJ/mol, DMK9 patient is E= -458.4 kJ/mol, and 8-3F patient is E=-544.20 kJ/mol. The DMK9 patient prognosis has better physiological condition than 8-3F patient. Interaction between 8-3F of hINSR tyrosine kinase domain mutation and PTB domain IRS-1 is more spontaneous than DMK9, but both of them were reduced on IRS-1 activation respectively.

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          The SWISS-MODEL Repository and associated resources

          SWISS-MODEL Repository (http://swissmodel.expasy.org/repository/) is a database of 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline. The aim of the SWISS-MODEL Repository is to provide access to an up-to-date collection of annotated 3D protein models generated by automated homology modelling for all sequences in Swiss-Prot and for relevant models organisms. Regular updates ensure that target coverage is complete, that models are built using the most recent sequence and template structure databases, and that improvements in the underlying modelling pipeline are fully utilised. As of September 2008, the database contains 3.4 million entries for 2.7 million different protein sequences from the UniProt database. SWISS-MODEL Repository allows the users to assess the quality of the models in the database, search for alternative template structures, and to build models interactively via SWISS-MODEL Workspace (http://swissmodel.expasy.org/workspace/). Annotation of models with functional information and cross-linking with other databases such as the Protein Model Portal (http://www.proteinmodelportal.org) of the PSI Structural Genomics Knowledge Base facilitates the navigation between protein sequence and structure resources.
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            HexServer: an FFT-based protein docking server powered by graphics processors

            HexServer (http://hexserver.loria.fr/) is the first Fourier transform (FFT)-based protein docking server to be powered by graphics processors. Using two graphics processors simultaneously, a typical 6D docking run takes ∼15 s, which is up to two orders of magnitude faster than conventional FFT-based docking approaches using comparable resolution and scoring functions. The server requires two protein structures in PDB format to be uploaded, and it produces a ranked list of up to 1000 docking predictions. Knowledge of one or both protein binding sites may be used to focus and shorten the calculation when such information is available. The first 20 predictions may be accessed individually, and a single file of all predicted orientations may be downloaded as a compressed multi-model PDB file. The server is publicly available and does not require any registration or identification by the user.
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              Signalling by insulin and IGF receptors: supporting acts and new players.

              The signalling pathways utilised by insulin receptor (IR) and IGF receptor to transduce their diverse effects on cellular metabolism, growth and survival are well established in broad outline, but many details remain to be elucidated. Tyrosine phosphorylation of IR substrates and Shc initiates signalling via canonical phosphoinositide 3-kinase/Akt and Ras/MAP kinase pathways, which together mediate many of the actions of insulin and IGFs. However, a variety of additional substrates and scaffolds have been described that may play roles in modulating the canonical pathways or in specific biological responses. This review will focus on recent studies that have extended our understanding of insulin/IGF signalling pathways, and the elements that may contribute to specificity.
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                Author and article information

                Journal
                Bioinformation
                Bioinformation
                Bioinformation
                Bioinformation
                Biomedical Informatics
                0973-8894
                0973-2063
                2013
                16 October 2013
                : 9
                : 17
                : 853-857
                Affiliations
                [1 ]Department of Biology, Faculty of Mathematics and Natural Sciences, Brawijaya University, Jl Veteran, Malang, East Java 65145,Indonesia
                [2 ]Department of Endocrinology, Saeful Anwar Hospital, Jl. Jaksa Agung Suprapto No. 2 Malang, East Java, Indonesia
                Author notes
                [* ]Fatchiyah Fatchiya: fatchiya@ 123456gmail.com
                Article
                97320630009853
                10.6026/97320630009853
                3819570
                255cadc8-564d-4bcb-badf-09ed1e7f77cd
                © 2013 Biomedical Informatics

                This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.

                History
                : 27 September 2013
                : 30 September 2013
                Categories
                Hypothesis

                Bioinformatics & Computational biology
                diabetes mellitus type-2,hinsr,in silico,irs-1
                Bioinformatics & Computational biology
                diabetes mellitus type-2, hinsr, in silico, irs-1

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