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Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy

✍ Scribed by Pier Luigi Martelli; Piero Fariselli; Luca Malaguti; Rita Casadio

Book ID
111752112
Publisher
Cold Spring Harbor Laboratory Press
Year
2008
Tongue
English
Weight
243 KB
Volume
11
Category
Article
ISSN
0961-8368

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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