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.
In contrast to Chou–Fasman, the GOR method considers not only the tendencies of individual amino acids to adopt particular secondary structures but also the probability that an amino acid will form a structure given its neighboring amino acids have already done so. This approach is essentially probabilistic in nature.