Local protein structure prediction using discriminative models. Sander, O., Sommer, I., & Lengauer, T. BMC Bioinformatics, 7:14, 2006. doi abstract bibtex The described method yields probability estimates for local protein structure candidates, giving signals for all kinds of local structure. These local structure predictions can be incorporated either into fold recognition algorithms to improve alignment quality and the overall prediction accuracy or into new fold prediction methods.
@article{sander_local_2006,
title = {Local protein structure prediction using discriminative models},
volume = {7},
doi = {10.1186/1471-2105-7-14},
abstract = {The described method yields probability estimates for local protein structure candidates, giving signals for all kinds of local structure. These local structure predictions can be incorporated either into fold recognition algorithms to improve alignment quality and the overall prediction accuracy or into new fold prediction methods.},
language = {eng},
journal = {BMC Bioinformatics},
author = {Sander, Oliver and Sommer, Ingolf and Lengauer, Thomas},
year = {2006},
pmid = {16405736},
pages = {14},
}
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