Protein secondary structure prediction

Geoffrey J. Barton (Lead / Corresponding author)

Research output: Contribution to journalArticle

76 Citations (Scopus)


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 languageEnglish
Pages (from-to)372-376
Number of pages5
JournalCurrent Opinion in Structural Biology
Issue number3
Publication statusPublished - Jun 1995


  • Animals
  • Humans
  • Predictive value of tests
  • Protein structure, Secondary
  • Proteins
  • Sequence alignment
  • Sequence analysis


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