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BuildBeta—A system for automatically constructing beta sheets
Authors:Nelson Max  ChengCheng Hu  Oliver Kreylos  Silvia Crivelli
Institution:1. Department of Computer Science, University of California, Davis, California 95616;2. Institute for Data Analysis and Visualization, University of California, Davis, California 95616;3. Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720
Abstract:We describe a method that can thoroughly sample a protein conformational space given the protein primary sequence of amino acids and secondary structure predictions. Specifically, we target proteins with β‐sheets because they are particularly challenging for ab initio protein structure prediction because of the complexity of sampling long‐range strand pairings. Using some basic packing principles, inverse kinematics (IK), and β‐pairing scores, this method creates all possible β‐sheet arrangements including those that have the correct packing of β‐strands. It uses the IK algorithms of ProteinShop to move α‐helices and β‐strands as rigid bodies by rotating the dihedral angles in the coil regions. Our results show that our approach produces structures that are within 4–6 Å RMSD of the native one regardless of the protein size and β‐sheet topology although this number may increase if the protein has long loops or complex α‐helical regions. Proteins 2010. © Published 2009 Wiley‐Liss, Inc.
Keywords:sample conformation space  ab initio protein structure prediction  combinatorial method
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