Improving protein fold recognition by random forest

@inproceedings{Jo2014ImprovingPF,
  title={Improving protein fold recognition by random forest},
  author={Taeho Jo and Jianlin Cheng},
  booktitle={BMC Bioinformatics},
  year={2014}
}
Recognizing the correct structural fold among known template protein structures for a target protein (i.e. fold recognition) is essential for template-based protein structure modeling. Since the fold recognition problem can be defined as a binary classification problem of predicting whether or not the unknown fold of a target protein is similar to an already known template protein structure in a library, machine learning methods have been effectively applied to tackle this problem. In our work… CONTINUE READING
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