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Prediction of the disulfide-bonding state of cysteines in proteins based on dipeptide composition

โœ Scribed by Jiang-Ning Song; Ming-Lei Wang; Wei-Jiang Li; Wen-Bo Xu


Book ID
116288297
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
224 KB
Volume
318
Category
Article
ISSN
0006-291X

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A neural network-based predictor is trained to distinguish the bonding states of cysteine in proteins starting from the residue chain. Training is performed by using 2,452 cysteinecontaining segments extracted from 641 nonhomologous proteins of well-resolved three-dimensional structure. After a cros