The GOR method is based on the “propensity” of each residue to be in one of the two conformational states, helix (H), strand(E).

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Secondary structure prediction is a set of techniques in bioinformatics that aim to predict the secondary structures of proteins and nucleic acid sequences based only on knowledge of their primary structure.

Topic include: Protein Secondary Structure Prediction for Globular Proteins, Secondary Structure Prediction for Transmembrane Proteins, & Coiled Coil Prediction.


The GOR method is based on the “propensity” of each residue to be in one of the two conformational states, helix (H), strand(E).