GOR method
The GOR method (short for Garnier–Osguthorpe–Robson) is an information theory-based method for the prediction of secondary structures in proteins. 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.
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- Know-how105616786
- Method105660268
- Program106568978
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- software
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- WikicatApplicationsOfBayesianInference
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- Comment
- enThe GOR method (short for Garnier–Osguthorpe–Robson) is an information theory-based method for the prediction of secondary structures in proteins. 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.
- Has abstract
- enThe GOR method (short for Garnier–Osguthorpe–Robson) is an information theory-based method for the prediction of secondary structures in proteins. 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.
- Hypernym
- Method
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- GOR method
- Label
- enGOR method
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- Alpha helix
- Amino acid
- Bayesian analysis
- Beta sheet
- Category:Applications of Bayesian inference
- Category:Bioinformatics
- Category:Protein methods
- Chou–Fasman method
- Conditional probability
- Information theory
- List of protein structure prediction software
- Log-odds
- Probability
- Protein
- Protein structure prediction
- Random coil
- Scoring matrix
- Secondary structure
- Tertiary structure
- Turn (biochemistry)
- X-ray crystallography
- SameAs
- 4jpy7
- GOR method
- m.027gpqn
- Q5514100
- طريقة GOR
- Subject
- Category:Applications of Bayesian inference
- Category:Bioinformatics
- Category:Protein methods
- WasDerivedFrom
- GOR method?oldid=1111042760&ns=0
- WikiPageLength
- 6568
- Wikipage page ID
- 8732281
- Wikipage revision ID
- 1111042760
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- Template:Short description