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Fold recognition software tools | Protein structure data analysis

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.

Source text:
(Jo and Cheng 2014) Improving protein fold recognition by random forest. BMC Bioinformatics.

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