Evidence map›Paper›PMID 21130021›Full record

ReviewCurrent opinion in chemical biology2011

Metalloproteomics: forward and reverse approaches in metalloprotein structural and functional characterization.

Wuxian Shi, Mark R Chance

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Force Field Parameters for FeMolecules (Basel, Switzerland) · 2021
    Article
  10. Yeast optimizes metal utilization based on metabolic network and enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Zinc binding proteome of a phytopathogenRoyal Society open science · 2019
    Article
  15. Article
  16. Article
  17. Frontiers in microbiology · 2018
    Article
  18. Review
  19. Review
  20. Review
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

2 authors.

Wuxian ShiCenter for Proteomics and Bioinformatics, Case Western Reserve University, 10900 Euclid Ave, BRB 113, Cleveland, OH 44106, USA.
Mark R Chance

Funding

SUBPROJECT 5U54GM074945 · NIGMS · SGX PHARMACEUTICALS, INC. · PI BURLEY, STEPHEN KEVIN · 2005 to 2009
$46.2M
Case Center for Synchrotron BiosciencesP30EB009998 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI CHANCE, MARK R · 2009 to 2018
$8.4M
NIBIB NIH HHS P30 EB009998NIGMS NIH HHS U54 GM074945
6 · The paper itself

Abstract

About one-third of all proteins are associated with a metal. Metalloproteomics is defined as the structural and functional characterization of metalloproteins on a genome-wide scale. The methodologies utilized in metalloproteomics, including both forward (bottom-up) and reverse (top-down) technologies, to provide information on the identity, quantity, and function of metalloproteins are discussed. Important techniques frequently employed in metalloproteomics include classical proteomic tools such as mass spectrometry and 2D gels, immobilized-metal affinity chromatography, bioinformatic sequence analysis and homology modeling, X-ray absorption spectroscopy and other synchrotron radiation based tools. Combinative applications of these techniques provide a powerful approach to understand the function of metalloproteins.

Indexed as

AnimalsComputational BiologyHumansMetalloproteinsProtein ConformationProteomicsMetalloproteins

Identifiers

PMID21130021
PMCPMC3040278

What OpenQuestion holds

Textmetadata
LicenceTDM
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.