Protein secondary structure prediction
- PMID: 7583635
- DOI: 10.1016/0959-440x(95)80099-9
Protein secondary structure prediction
Abstract
The past year has seen a consolidation of protein secondary structure prediction methods. The advantages of prediction from an aligned family of proteins have been highlighted by several accurate predictions made 'blind', before any X-ray or NMR structure was known for the family. New techniques that apply machine learning and discriminant analysis show promise as alternatives to neural networks.
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