Building and assessing atomic models of proteins from structural templates: learning and benchmarks.

@article{Vallat2009BuildingAA,
  title={Building and assessing atomic models of proteins from structural templates: learning and benchmarks.},
  author={Brinda K. Vallat and Jaroslaw Pillardy and Peter M{\'a}jek and Jaroslaw Meller and Thomas Blom and Baoqiang Cao and Ron Elber},
  journal={Proteins},
  year={2009},
  volume={76 4},
  pages={930-45}
}
One approach to predict a protein fold from a sequence (a target) is based on structures of related proteins that are used as templates. We present an algorithm that examines a set of candidates for templates, builds from each of the templates an atomically detailed model, and ranks the models. The algorithm performs a hierarchical selection of the best model using a diverse set of signals. After a quick and suboptimal screening of template candidates from the protein data bank, the current… CONTINUE READING
13 Citations
26 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…