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Alpha helix prediction based on metropolis-hastings sampling

Lingyu Ma, M. Reisert, C. Wirth, C. Hunte, Olaf Ronneberger, Hans Burkhardt
IEEE International Symposium on Biomedical Imaging (ISBI): 1943--1949, 2011
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Abstract: Accurate identification of protein secondary structures is beneficial to the structural interpretation of low-resolution X-ray and EM electron density maps. Existing alpha helix identification methods mainly focus on locally voxelwise classification and then link the helix-voxels based on post-processing processes. In this paper, a novel alpha helix identification approach, named as SSEPredictor, based on Metropolis-Hastings sampling is proposed, which can provide both locally and globally optimized prediction for alpha helical structures in low-resolution electron density maps. The approach has been tested on X-ray crystallographic electron density maps at 8 angstrom resolution. The experimental results show that the identification accuracy is promising.

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BibTex references

@InProceedings{MRB11,
  author       = "L Ma and M Reisert and C Wirth and C Hunte and O Ronneberger and H Burkhardt",
  title        = "Alpha helix prediction based on metropolis-hastings sampling",
  booktitle    = "IEEE International Symposium on Biomedical Imaging (ISBI)",
  pages        = "1943--1949",
  year         = "2011",
  url          = "http://lmb.informatik.uni-freiburg.de//Publications/2011/MRB11"
}

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