Protein secondary structure: category assignment and predictability
| Autor: | Søren Brunak, Claus A. Andersen, Henrik Bohr |
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| Jazyk: | angličtina |
| Předmět: |
Models
Molecular Scheme (programming language) Biophysics Biochemistry Protein Structure Secondary Structural Biology Genetics Predictability Molecular Biology Protein secondary structure Hydrogen bond prediction Sequence–structure relationship computer.programming_language Artificial neural network Chemistry Proteins Hydrogen Bonding Cell Biology Single sequence Data set Crystallography Models Chemical Neural Networks Computer Hidden layer computer Algorithm Algorithms DSSP (hydrogen bond estimation algorithm) |
| Zdroj: | FEBS Letters. (1):6-10 |
| ISSN: | 0014-5793 |
| DOI: | 10.1016/S0014-5793(01)02910-6 |
| Popis: | In the last decade, the prediction of protein secondary structure has been optimized using essentially one and the same assignment scheme known as DSSP. We present here a different scheme, which is more predictable. This scheme predicts directly the hydrogen bonds, which stabilize the secondary structures. Single sequence prediction of the new three category assignment gives an overall prediction improvement of 3.1% and 5.1% compared to the DSSP assignment and schemes where the helix category consists of α-helix and 3 10 -helix, respectively. These results were achieved using a standard feed-forward neural network with one hidden layer on a data set identical to the one used in earlier work. |
| Databáze: | OpenAIRE |
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