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GOR method information


The GOR method (short for Garnier–Osguthorpe–Robson) is an information theory-based method for the prediction of secondary structures in proteins.[1] It was developed in the late 1970s shortly after the simpler Chou–Fasman method. Like Chou–Fasman, the GOR method is based on probability parameters derived from empirical studies of known protein tertiary structures solved by X-ray crystallography. 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.[2]

  1. ^ Garnier, J.; Gibrat, J. F.; Robson, B. (1996). "GOR method for predicting protein secondary structure from amino acid sequence". Methods Enzymol. 266: 540–53. doi:10.1016/S0076-6879(96)66034-0. PMID 8743705.
  2. ^ Garnier, J.; Osguthorpe, D. J.; Robson, B. (1978). "Analysis of the accuracy and implications of simple methods for predicting the secondary structure of globular proteins". J Mol Biol. 120 (1): 97–120. doi:10.1016/0022-2836(78)90297-8. PMID 642007.

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