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LoopIng is a method based on Random Forest automated learning technique which selects the structural templates from a database of loop candidates that can be used to predict the structure of the target protein loop.
The quality of the predictions is lenient to errors that unavoidably affect stem regions when they are modeled rather than taken from the native structure. The method has the advantage of having orders of magnitude faster than any other method and returning a confidence score of the predicted template loops
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