Prediction of Beta Sheets in ProteinsAnders
نویسنده
چکیده
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-sheet, which consists of two or more-strands that are connected by hydrogen bonds. Since-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 pos-itives. By using a global energy function the-sheet prediction is combined with a local prediction of the three secondary structures-helix,-strand and coil. The energy function is minimized using simulated annealing to give a nal prediction.
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