However, unlike Chou–Fasman, the GOR method takes into account not only the propensities of individual amino acids to form particular secondary structures, but also the conditional probability of the amino acid to form a secondary structure given that its immediate neighbors have already formed that structure. The method is therefore essentially Bayesian in its analysis.
However, unlike Chou–Fasman, the GOR method considers not only the inclinations of individual amino acids to create specific secondary structures but also the likelihood that an amino acid will form a structure given its neighboring amino acids have already formed it. The approach is therefore fundamentally probabilistic in its analysis.