Related Experiment Videos
Comparison of two variations of neural network approach to the prediction of protein folding pattern
I Dubchak1, S R Holbrook, S H Kim
1Department of Chemistry, University of California at Berkeley 94720, USA.
Proceedings. International Conference on Intelligent Systems for Molecular Biology
|January 1, 1993
Abstract:
We have designed, trained and tested two types of neural networks for the prediction of protein folding pattern from sequence. Here we describe the differences in the networks and compare their performance on a variety of proteins. Both network representations are generally successful in predicting protein fold and can also be used together to confirm a prediction.