Title
Residues with Similar Hexagon Neighborhoods Share Similar Side-Chain Conformations
Abstract
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.
Year
DOI
Venue
2012
10.1109/TCBB.2011.74
IEEE/ACM Trans. Comput. Biology Bioinform.
Keywords
Field
DocType
protein structure prediction,amino acids,protein structure,indexing terms,accuracy,molecular biophysics,ab initio calculations,databases,rotamer,bioinformatics,proteins,amino acid,matrices
Protein structure prediction,Ab initio quantum chemistry methods,Force field (chemistry),Conformational isomerism,Computer science,Threading (manufacturing),Bioinformatics,Ab initio,Protein structure,Side chain
Journal
Volume
Issue
ISSN
9
1
1545-5963
Citations 
PageRank 
References 
2
0.40
11
Authors
3
Name
Order
Citations
PageRank
Shuai Cheng Li118430.25
Dongbo Bu215721.54
Ming Li35595829.00