Evidence map›Paper›PMID 21116694›Full record

ReviewPharmaceutical research2011

Protein microarrays: novel developments and applications.

Luis Berrade, Angie E Garcia, Julio A Camarero

Abstract readReview
In one paragraph

Review in Pharmaceutical research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Development of practical techniques for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Self-Assembling Protein Surfaces forFrontiers in bioengineering and biotechnology · 2022
    Article
  8. Article
  9. Article
  10. Effective Use of Linear DNA in Cell-Free Expression Systems.Frontiers in bioengineering and biotechnology · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Luis BerradeDepartment of Pharmacology and Pharmaceutical Sciences, School of Pharmacy, University of Southern California, 1985 Zonal Avenue, PSC 616, Los Angeles, California 90033, USA.
Angie E Garcia
Julio A Camarero

Funding

Cell-based screening and selection of cyclotide-based capture reagents for proteiR01GM090323 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CAMARERO, JULIO A · 2009 to 2013
$2.0M
NIGMS NIH HHS GM090323-01NIGMS NIH HHS R01 GM090323
6 · The paper itself

Abstract

Protein microarray technology possesses some of the greatest potential for providing direct information on protein function and potential drug targets. For example, functional protein microarrays are ideal tools suited for the mapping of biological pathways. They can be used to study most major types of interactions and enzymatic activities that take place in biochemical pathways and have been used for the analysis of simultaneous multiple biomolecular interactions involving protein-protein, protein-lipid, protein-DNA and protein-small molecule interactions. Because of this unique ability to analyze many kinds of molecular interactions en masse, the requirement of very small sample amount and the potential to be miniaturized and automated, protein microarrays are extremely well suited for protein profiling, drug discovery, drug target identification and clinical prognosis and diagnosis. The aim of this review is to summarize the most recent developments in the production, applications and analysis of protein microarrays.

Indexed as

Drug Delivery SystemsEnzymes, ImmobilizedModels, MolecularProtein Array AnalysisProteomicsSurface PropertiesEnzymes, Immobilized

Identifiers

PMID21116694
PMCPMC3137928

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.