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| Title: | Progress of 1D protein structure prediction at last |
| Author: | Burkhard Rost & Chris Sander |
| Quote: | Proteins , 23, 295-300 (1995) |
Accuracy of predicting protein secondary structure and solvent accessibility from sequence information has been improved significantly by using information contained in multiple sequence alignments as input to a neural network system. For the Asilomar meeting, predictions for 13 proteins were generated automatically using the publicly available prediction method PHD. The results confirm the estimate of 72% three-state prediction accuracy. The fairly accurate predictions of secondary structure segments made the tool useful as a starting point for modelling of higher dimensional aspects of protein structure.