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| Title: | Exercising Multi-layered Networks on Protein Secondary Structure |
| Author: | Burkhard Rost & Chris Sander |
| Quote: | in: O. Benhar, S. Brunak, P. DelGiudice and M. Grandolfo (eds.), Neural Networks: From Biology to High Energy Physics, Elba, Italy: Intern. J. of Neural Systems, 209-220 (1992) |
The quality of a multi-layered network predicting the secondary structure of proteins is improved substantially by: (i) using information about evolutionarily conserved amino acids (increase of overall accuracy by six percentage points), (ii) balancing the training dynamics (increase of accuracy for strand), and (iii) combining uncorrelated networks in a jury (increase two percentage points). In addition, appending a second level structure-to-structure network results in better reproduction of the length of secondary structure segments.