Issue No. 01 - January/February (2012 vol. 9)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TCBB.2011.74
Shuai Cheng Li , David R. Sheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
Dongbo Bu , Inst. of Comput. Technol., Beijing, China
Ming Li , David R. Sheriton Sch. of Comput. Sci., Univ. of Waterloo, Waterloo, ON, Canada
We present in this study a new approach to code protein side-chain conformations into hexagon substructures. Classical side-chain packing methods consist of two steps: first, side-chain conformations, known as rotamers, are extracted from known protein structures as candidates for each residue; second, a searching method along with an energy function is used to resolve conflicts among residues and to optimize the combinations of side chain conformations for all residues. These methods benefit from the fact that the number of possible side-chain conformations is limited, and the rotamer candidates are readily extracted; however, these methods also suffer from the inaccuracy of energy functions. Inspired by threading and Ab Initio approaches to protein structure prediction, we propose to use hexagon substructures to implicitly capture subtle issues of energy functions. Our initial results indicate that even without guidance from an energy function, hexagon structures alone can capture side-chain conformations at an accuracy of 83.8 percent, higher than 82.6 percent by the state-of-art side-chain packing methods.
Amino acids, Accuracy, Proteins, Libraries, Matrices, Bioinformatics, Databases
Shuai Cheng Li, Dongbo Bu and Ming Li, "Residues with Similar Hexagon Neighborhoods Share Similar Side-Chain Conformations," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 1, pp. 240-248, 2011.