Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
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Soft Computing Methods for Disulfide Connectivity PredictionPrediction of reversibly oxidized protein cysteine thiols using protein structure propertiesAn Evolutionary View on Disulfide Bond Connectivities Prediction Using Phylogenetic Trees and a Simple Cysteine Mutation ModelAnalysis on conservation of disulphide bonds and their structural features in homologous protein domain familiesCysView: protein classification based on cysteine pairing patterns.Servers for sequence-structure relationship analysis and prediction.Clustering-based model of cysteine co-evolution improves disulfide bond connectivity prediction and reduces homologous sequence requirements.Investigating the Molecular Mechanisms Behind Uncharacterized Cysteine Losses from Prediction of Their Oxidation State.
P2860
Q26777532-4A349833-7CE1-47E1-A26A-30C19AE41017Q30367869-9BC0FEF1-4DA7-4104-A562-DF4742D72B4CQ30376524-869608A6-DCE8-40AD-8D78-983D46F546C5Q33396099-02244EA1-9357-4DBB-8E36-41191E1085DFQ34328889-D437F6BB-7ED7-40D5-9D63-31A1FE659E84Q39804480-8D3CC418-BD96-494A-B852-FC9F708D72A7Q41708995-50507180-84FD-422E-9C4C-1A6341E3FD20Q45950002-4D48F2B6-6C05-4004-BB96-659CE439ED6D
P2860
Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
description
2002 nî lūn-bûn
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2002年の論文
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Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
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type
label
Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
@en
prefLabel
Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
@en
P2860
P356
P1433
P1476
Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.
@en
P2093
Luca Malaguti
Pier Luigi Martelli
P2860
P304
P356
10.1110/PS.0219602
P577
2002-11-01T00:00:00Z