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Glyocosylation prediction predicts glycosylation sites using a Cyrus-developed version of DeepNGlyPred (DNGP)-- a deep neural-network (DNN) learning tool for sequence-based human N-linked glycosylation prediction.
Interface Analyzerruns the Rosetta InterfaceAnalyzer application to report calculated binding energies and other metrics of a given protein-protein interface.
Loop modeling runs the Rosetta Next Generation KIC loop modeling protocol. This API is useful for modeling loops of between 5 and 17 residues. This tool is suitable for resampling the conformations of existing loops. It is the same underlying tool as our Loop Rebuild Action in Bench; that tool’s documentation contains more details.
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