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Prediction of protein structure using a knowledge-based off-lattice united-residue force field and global optimization methods
Authors:Adam Liwo  Jaros?aw Pillardy  Rajmund Ka?mierkiewicz  Ryszard J Wawak  Ma?gorzata Groth  Cezary Czaplewski  Stanisaw O?dziej  Harold A Scheraga
Institution:(1)  Faculty of Chemistry, University of Gdańsk, ul. Sobieskiego 18, 80-952 Gdańsk, Poland, PL;(2)  Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA, US
Abstract:A united-residue model of polypeptide chains developed in our laboratories with united side-chains and united peptide groups as interaction sites is presented. The model is designed to work in continuous space; hence efficient global-optimization methods can be applied. In this work, we adopted the distance-scaling method that is based on continuous deformation of the original rugged energy hypersurface to obtain a smoothed surface. The method has been applied successfully to predict the structures of simple motifs, such as the three-helix bundle structure of the 10-58 fragment of staphylococcal protein A in de novo folding simulations and more complicated motifs in inverse-folding simulations. Received: 24 April 1998 / Accepted: 4 August 1998 / Published online: 2 November 1998
Keywords:: Protein structure prediction  Mean-field potential  United-residue representation of polypeptide chains  Global optimization
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