Predicting Disordered Regions from Amino Acid Sequence: Common Themes Despite Differing Structural Characterization.

نویسندگان

  • Garner
  • Cannon
  • Romero
  • Obradovic
  • Dunker
چکیده

Using ordered and disordered regions identified either by X-ray crystallography or by NMR spectroscopy, we trained neural networks to predict order and disorder from amino acid sequence. Although the NMR-based predictor initially appeared to be much better than the one based on the X-ray data, both predictors yielded similar overall accuracies when tested on each other's training sets, and indicated similar regions of disorder upon each sequence. The predictors trained with X-ray data showed similar results for a 5-cross validation experiment and for the out-of-sample predictions on the NMR characterized data. In contrast, the predictor trained with NMR data gave substantially worse accuracies on the out-of-sample X-ray data as compared to the accuracies displayed by the 5-cross validation during the network training. Overall, the results from the two predictors suggest that disordered regions comprise a sequence-dependant category distinct from that of ordered protein structure.

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عنوان ژورنال:
  • Genome informatics. Workshop on Genome Informatics

دوره 9  شماره 

صفحات  -

تاریخ انتشار 1998