Because residues in the same aligned position are assumed to have the same secondary structure, any inconsistencies or errors in prediction of individual sequences can be corrected using a majority rule.

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.