Research article
An adaptive bin framework search method for a beta-sheet protein homopolymer model
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* Corresponding author: Holger H Hoos hoos@cs.ubc.ca
1 Department of Structural Biology, Stanford University, 299 W. Campus Dr., Stanford, CA 94305, USA
2 Department of Computer Science, University of British Columbia, 2366 Main Mall, Vancouver, BC V6T 1Z4, Canada
BMC Bioinformatics 2007, 8:136 doi:10.1186/1471-2105-8-136
Published: 24 April 2007Additional files
Additional file 1:
Additional data for an adaptive bin framework search method for a beta-sheet protein homopolymer model. In this supplementary file, we show additional low-energy conformations for the 64 amino acid homopolymer found by BINMC, provide details on experiments conducted to determine good parameter settings for BINMC and supply the necessary information to reconstruct the lowest energy conformations of homopolymers of length 12, 24, 32, and 64 found by our new algorithm.
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