BOHM, G and MUHR, R and JAENICKE, R (1992) QUANTITATIVE-ANALYSIS OF PROTEIN FAR UV CIRCULAR-DICHROISM SPECTRA BY NEURAL NETWORKS. PROTEIN ENGINEERING, 5 (3). pp. 191-195. ISSN 0269-2139,
Full text not available from this repository.Abstract
A new method based on neural network theory is presented to analyze and quantify the information content of far UV circular dichroism spectra. Using a backpropagation network model with a single hidden layer between input and output, it was possible to deduce five different secondary structure fractions (helix, parallel and antiparallel beta-sheet, beta-turn and random coil) with satisfactory correlations between calculated and measured secondary structure data. We demonstrate that for each wavelength interval a specific network is suitable. The remaining discrepancy between the secondary structure data from neural network prediction and crystallography may be attributed to errors in the determination of protein concentration and random noise in the CD signal, as indicated by simulations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | SECONDARY STRUCTURE; PREDICTION; CIRCULAR DICHROISM; NEURAL NETWORK; PROTEIN SECONDARY STRUCTURE |
| Depositing User: | Dr. Gernot Deinzer |
| Last Modified: | 19 Oct 2022 08:44 |
| URI: | https://pred.uni-regensburg.de/id/eprint/54593 |
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