Prediction of Beta Sheets in Proteins
Krogh, Anders, Riis, Soren Kamaric
–Neural Information Processing Systems
Most current methods for prediction of protein secondary structure use a small window of the protein sequence to predict the structure of the central amino acid. We describe a new method for prediction of the non-local structure called,8-sheet, which consists of two or more,8-strands that are connected by hydrogen bonds. Since,8-strands are often widely separated in the protein chain, a network with two windows is introduced. After training on a set of proteins the network predicts the sheets well, but there are many false positives. Byusing a global energy function the,8-sheet prediction is combined with a local prediction of the three secondary structures a-helix,,8-strand and coil.
Neural Information Processing Systems
Dec-31-1996
- Country:
- Europe > Denmark (0.14)
- North America > United States (0.14)
- Genre:
- Research Report (0.46)
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- Technology: