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Fragment Library-Based Representation System for Protein Conformation

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The representation system for protein conformation has a crucial effect on the speed of various protein-related simulations, including ab initio protein structure prediction and protein-protein docking simulation. Usually, the finer a representation system, the longer is the computational time required to employ the representation system in simulations. On the other hand, very coarse lattice systems cannot be directly applied to the simulation problems with real proteins. We report a new, fragment library-based protein conformation representation system, prepared by clustering amino acid conformations from 154 proteins. This system was composed of 64 most representative fragments per each amino acid, and based on the unified residue approach in which two spheres per amino acid were used. It could represent the conformation of the 82 proteins in an independent test set with the mean and standard deviation RMSD of 1.01 and 0.09 Å, respectively, based on the position of alpha carbons and the centers of mass of sidechains.

Keywords: Clustering; Fragment library; Protein conformation; Representation system; Self-organizing map

Document Type: Research Article


Affiliations: School of Chemical Engineering, College of Engineering, Seoul National University, Seoul, 151-744, Korea.

Publication date: January 1, 2006

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  • Protein & Peptide Letters publishes short papers in all important aspects of protein and peptide research, including structural studies, recombinant expression, function, synthesis, enzymology, immunology, molecular modeling, drug design etc. Manuscripts must have a significant element of novelty, timeliness and urgency that merit rapid publication. Reports of crystallisation, and preliminary structure determinations of biologically important proteins are acceptable. Purely theoretical papers are also acceptable provided they provide new insight into the principles of protein/peptide structure and function.

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