Combining prediction, computation and experiment for the characterization of protein disorder

Clay Bracken, Lilia M. Iakoucheva, Pedro R. Romero, A. Dunker

Research output: Contribution to journalArticle

105 Citations (Scopus)

Abstract

Several computational and experimental methods exist for identifying disordered residues within proteins. Computational algorithms can now identify these disordered sequences and predict their occurrence within genomes with relatively high accuracy. Recent advances in NMR and mass spectroscopy permit faster and more detailed studies of disordered states at atomic resolutions. Combining prediction, computation and experimentation is proposed to accelerate and enhance the characterization of intrinsically disordered protein.

Original languageEnglish
Pages (from-to)570-576
Number of pages7
JournalCurrent Opinion in Structural Biology
Volume14
Issue number5
DOIs
StatePublished - Oct 2004

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Intrinsically Disordered Proteins
Mass Spectrometry
Magnetic Resonance Spectroscopy
Genome
Proteins

ASJC Scopus subject areas

  • Molecular Biology
  • Structural Biology

Cite this

Combining prediction, computation and experiment for the characterization of protein disorder. / Bracken, Clay; Iakoucheva, Lilia M.; Romero, Pedro R.; Dunker, A.

In: Current Opinion in Structural Biology, Vol. 14, No. 5, 10.2004, p. 570-576.

Research output: Contribution to journalArticle

Bracken, Clay ; Iakoucheva, Lilia M. ; Romero, Pedro R. ; Dunker, A. / Combining prediction, computation and experiment for the characterization of protein disorder. In: Current Opinion in Structural Biology. 2004 ; Vol. 14, No. 5. pp. 570-576.
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