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.
| Original language | English |
|---|---|
| Pages (from-to) | 372-376 |
| Number of pages | 5 |
| Journal | Current Opinion in Structural Biology |
| Volume | 5 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 1995 |
Keywords
- Animals
- Humans
- Predictive value of tests
- Protein structure, Secondary
- Proteins
- Sequence alignment
- Sequence analysis