Extension of a protein docking algorithm to membranes and applications to amyloid precursor protein dimerization |
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Authors: | Shruthi Viswanath Laura Dominguez Leigh S. Foster John E. Straub Ron Elber |
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Affiliation: | 1. Department of Computer Science, University of Texas at Austin, Austin, Texas;2. Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas;3. Department of Chemistry, Boston University, Boston, Massachusetts;4. Department of Chemistry, University of Texas at Austin, Austin, Texas |
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Abstract: | Novel adjustments are introduced to the docking algorithm, DOCK/PIERR, for the purpose of predicting structures of transmembrane protein complexes. Incorporating knowledge about the membrane environment is shown to significantly improve docking accuracy. The extended version of DOCK/PIERR is shown to perform comparably to other leading docking packages. This membrane version of DOCK/PIERR is applied to the prediction of coiled‐coil homodimer structures of the transmembrane region of the C‐terminal peptide of amyloid precursor protein (C99). Results from MD simulation of the C99 homodimer in POPC bilayer and docking are compared. Docking results are found to capture key aspects of the homodimer ensemble, including the existence of three topologically distinct conformers. Furthermore, the extended version of DOCK/PIERR is successful in capturing the effects of solvation in membrane and micelle. Specifically, DOCK/PIERR reproduces essential differences in the homodimer ensembles simulated in POPC bilayer and DPC micelle, where configurational entropy and surface curvature effects bias the handedness and topology of the homodimer ensemble. Proteins 2015; 83:2170–2185. © 2015 Wiley Periodicals, Inc. |
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Keywords: | protein– protein docking transmembrane complexes membrane potential amyloid precursor protein all‐atom MD simulation micelle and bilayer environments explicit and implicit solvent |
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