Large-scale functional analysis using peptide or protein arrays View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-04

AUTHORS

Alia Qureshi Emili, Gerard Cagney

ABSTRACT

The array format for analyzing peptide and protein function offers an attractive experimental alternative to traditional library screens. Powerful new approaches have recently been described, ranging from synthetic peptide arrays to whole proteins expressed in living cells. Comprehensive sets of purified peptides and proteins permit high-throughput screening for discrete biochemical properties, whereas formats involving living cells facilitate large-scale genetic screening for novel biological activities. In the past year, three major genome-scale studies using yeast as a model organism have investigated different aspects of protein function, including biochemical activities, gene disruption phenotypes, and protein–protein interactions. Such studies show that protein arrays can be used to examine in parallel the functions of thousands of proteins previously known only by their DNA sequence. More... »

PAGES

393-397

References to SciGraph publications

  • 1999-01. DNA microarrays in drug discovery and development in NATURE GENETICS
  • 1991-11. A new type of synthetic peptide library for identifying ligand-binding activity in NATURE
  • 1999-03. A synthetic mimic of a discontinuous binding site on interleukin-10 in NATURE BIOTECHNOLOGY
  • 1993-07. Molecular cloning of the olfactory neuronal transcription factor Olf-1 by genetic selection in yeast in NATURE
  • 1996-05. Mapping protein-protein contact sites using cellulose-bound peptide scans in MOLECULAR DIVERSITY
  • 1999-11. A combined algorithm for genome-wide prediction of protein function in NATURE
  • 1999-11. Micropatterned immobilization of a G protein–coupled receptor and direct detection of G protein activation in NATURE BIOTECHNOLOGY
  • 1998-10. A new logic for DNA engineering using recombination in Escherichia coli in NATURE GENETICS
  • 1999-11. Large-scale analysis of the yeast genome by transposon tagging and gene disruption in NATURE
  • 1999-10. A generic protein purification method for protein complex characterization and proteome exploration in NATURE BIOTECHNOLOGY
  • 2000-02. A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae in NATURE
  • 1991-11. Generation and use of synthetic peptide combinatorial libraries for basic research and drug discovery in NATURE
  • 1996-04. Electrospray ionization and matrix assisted laser desorption/ionization mass spectrometry: Powerful analytical tools in recombinant protein chemistry in NATURE BIOTECHNOLOGY
  • 1999-10. Amino acid specificity of glycation and protein–AGE crosslinking reactivities determined with a dipeptide SPOT library in NATURE BIOTECHNOLOGY
  • Journal

    TITLE

    Nature Biotechnology

    ISSUE

    4

    VOLUME

    18

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/74442

    DOI

    http://dx.doi.org/10.1038/74442

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1010375803

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/10748518


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