A Critical Evaluation of Methods for Prediction of Protein Secondary Structures
โ Scribed by Schulz, G E
- Book ID
- 121490555
- Publisher
- Annual Reviews
- Year
- 1988
- Tongue
- English
- Weight
- 609 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0883-9182
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๐ SIMILAR VOLUMES
A new dataset of 396 protein domains is developed and used to evaluate the performance of the protein secondary structure prediction algorithms DSC, PHD, NNSSP, and PREDATOR. The maximum theoretical Q 3 accuracy for combination of these methods is shown to be 78%. A simple consensus prediction on th
A primary and a secondary neural network are applied to secondary structure and structural class prediction for a database of 681 non-homologous protein chains. A new method of decoding the outputs of the secondary structure prediction network is used to produce an estimate of the probability of fin