Team:TU Darmstadt/Modeling

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<li><a href="/Team:TU_Darmstadt/Human_Practice" title="Human Practice">Human Practice</a><ul>
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<li><a href="/Team:TU_Darmstadt/Human_Practice" title="Human Practice">Human Practice</a></li>   
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    <li><a href="/Team:TU_Darmstadt/Human_Practice/Panel_Discussion " title="Panel Discussion">Panel Discussion</a></li>
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{|
 
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!align="center"|[[Team:TU_Darmstadt|Home |]]
 
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!align="center"|[[Team:TU_Darmstadt/Team|Team | ]]
 
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!align="center"|[https://igem.org/Team.cgi?year=2012&team_name=TU_Darmstadt Official Team Profile | ]
 
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!align="center"|[[Team:TU_Darmstadt/Project|Project | ]]
 
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!align="center"|[[Team:TU_Darmstadt/Parts|Parts Submitted to the Registry | ]]
 
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!align="center"|[[Team:TU_Darmstadt/Modeling|Modeling | ]]
 
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!align="center"|[[Team:TU_Darmstadt/Notebook|Notebook | ]]
 
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!align="center"|[[Team:TU_Darmstadt/Attributions|Attributions]]
 
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| [[File:ho_modeling_ic.gif|250px|link=https://2012.igem.org/Team:TU_Darmstadt/Modeling_Homologie_Modeling ]]
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<div id="instructions" style="text-align: center; font-weight: normal; font-size: small; color: #f6f6f6; padding: 5px;">
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You are provided with this team page template with which to start the iGEM season.  You may choose to personalize it to fit your team but keep the same "look." Or you may choose to take your team wiki to a different level and design your own wiki.  You can find some examples <a href="https://2008.igem.org/Help:Template/Examples">HERE</a>.
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You <strong>MUST</strong>  have all of the pages listed in the menu below with the names specified.  PLEASE keep all of your pages within your teams namespace. 
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If you choose to include a '''Modeling''' page, please write about your modeling adventures here.  This is not necessary but it may be a nice list to include.
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<math>H(X)=-\sum\limits_{x}p(x)\cdot \log_{2} p(x)</math>
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== Modeling ==
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==Homologie Modeling==
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While our proteins are functionally described in literature and during the IGEM competition, no structures are available in the protein data bank. For further work and visualizations structure is indispensible.  We used Yasara Structure [1]⁠  to calculate 3-dimensional structures of our Proteins we used within the IGEM.
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===Workflow===
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Description how our Yasara scripts calculates homology model[7]:
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[[File:Aln+pnB.png|Alignment with an homologie model|right|500px]]
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# Sequence is PSI-BLASTed against Uniprot [2]⁠
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# Calculation of  a  a position-specific scoring matrix (PSSM) from related sequences
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# Using the PSSM to search the PDB for potential modeling templates
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# The Templates are ranked based on the alignment score and the structural quality[3]⁠
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# Deriving additional information’s  for template and Target (prediction of secondary structure, structure-based alignment correction by using SSALN scoring matrices [4]⁠.
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# A graph of the side-chain rotamer network is built, dead-end elimination is used to find an initial rotamer solution in the context of a simple repulsive energy function [5]⁠
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# The loop-network is optimized using a high amount of different orientations
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# Side-chain rotamers are fine-tuned considering electrostatic and knowledge-based packing interactions as well as solvation effects.
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# An unrestrained high-resolution refinement with explicit solvent molecules is run, using the latest knowledge-based force fields[6]⁠.
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===Application===
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All these steps are performed to every template used for the modeling approach. For our project we set the maximum amount of templates to 20. Every derived structure is evaluated using an average per-residue quality Z-scores. At least a hybrid model is built containing the best regions of all predictions. This procedure make prediction’s accurate and thus more realistic.
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===References===
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[1] E. Krieger, G. Koraimann, and G. Vriend, “Increasing the precision of comparative models with YASARA NOVA--a self-parameterizing force field.,” Proteins, vol. 47, no. 3, pp. 393–402, 2002.
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[2] S. F. Altschul, T. L. Madden, A. A. Schäffer, J. Zhang, Z. Zhang, W. Miller, and D. J. Lipman, “Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.,” Nucleic Acids Res, vol. 25, no. 17, pp. 3389–3402, Sep. 1997.
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[3] R. W. Hooft, G. Vriend, C. Sander, and E. E. Abola, “Errors in protein structures.,” Nature, vol. 381, no. 6580. Nature Publishing Group, p. 272, 1996.
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[4] D. T. Jones, “Protein secondary structure prediction based on position-specific scoring matrices,” Journal of Molecular Biology, vol. 292, no. 2, pp. 195–202, 1999.
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[5] A. A. Canutescu, A. A. Shelenkov, and R. L. Dunbrack, “A graph-theory algorithm for rapid protein side-chain prediction.,” Protein Science, vol. 12, no. 9, pp. 2001–2014, 2003.
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[6] E. Krieger, K. Joo, J. Lee, J. Lee, S. Raman, J. Thompson, M. Tyka, D. Baker, and K. Karplus, “Improving physical realism, stereochemistry, and side-chain accuracy in homology modeling: Four approaches that performed well in CASP8.,” Proteins, vol. 77 Suppl 9, no. June, pp. 114–122, 2009.
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[7] http://www.yasara.org/homologymodeling.htm
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==Information Theory==
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==Docking Simulations==
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==Gaussian network model==
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==Molecular Dynamics==
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| [[File:docking_ic.gif|250px|link=https://2012.igem.org/Team:TU_Darmstadt/Modeling_Docking]]
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Svens sandbox...
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Latest revision as of 12:47, 26 September 2012