Team:TU Darmstadt/modelling/Structure

From 2013.igem.org

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Description how our Yasara script calculates homology model[7]:
Description how our Yasara script calculates homology model[7]:
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<li>Calculation of a position-specific scoring matrix (PSSM) from related sequences</li>
<li>Calculation of a position-specific scoring matrix (PSSM) from related sequences</li>
<li>Using the PSSM to search the PDB for potential modeling templates</li>
<li>Using the PSSM to search the PDB for potential modeling templates</li>
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# The Templates are ranked based on the alignment score and the structural quality[3]⁠
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<li>The Templates are ranked based on the alignment score and the structural quality[3]⁠</li>
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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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<li>Deriving additional information’s  for template and target (prediction of secondary structure, structure-based alignment correction by using SSALN scoring matrices [4])⁠.</li>
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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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<li>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]⁠</li>
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# The loop-network is optimized using a high amount of different orientations
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<li>The loop-network is optimized using a high amount of different orientations</li>
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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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<li>Side-chain rotamers are fine-tuned considering electrostatic and knowledge-based packing interactions as well as solvation effects.</li>
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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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<li>An unrestrained high-resolution refinement with explicit solvent molecules is run, using the latest knowledge-based force fields[6]⁠.</li>
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Revision as of 21:45, 3 October 2013





Modelling | Statistics | Structure




Homology Modelling

While our proteins are functionally described in literature and during the IGEM competition, only part of the structures are available in the protein data bank. For further work and visualizations, protein structures are indispensable. We used Yasara Structure [1]⁠ to calculate 3-dimensional structures of all of our proteins for the IGEM.

DKL





Workflow

Description how our Yasara script calculates homology model[7]:

  1. Sequence is PSI-BLASTed against Uniprot [2]⁠
  2. Calculation of a position-specific scoring matrix (PSSM) from related sequences
  3. Using the PSSM to search the PDB for potential modeling templates
  4. The Templates are ranked based on the alignment score and the structural quality[3]⁠
  5. Deriving additional information’s for template and target (prediction of secondary structure, structure-based alignment correction by using SSALN scoring matrices [4])⁠.
  6. 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]⁠
  7. The loop-network is optimized using a high amount of different orientations
  8. Side-chain rotamers are fine-tuned considering electrostatic and knowledge-based packing interactions as well as solvation effects.
  9. An unrestrained high-resolution refinement with explicit solvent molecules is run, using the latest knowledge-based force fields[6]⁠.
DKL
DKL