Evidence map›Paper›PMID 21632546›Full record

ReviewThe Journal of biological chemistry2011

Drug metabolite profiling and identification by high-resolution mass spectrometry.

Mingshe Zhu, Haiying Zhang, W Griffith Humphreys

Abstract readReview
In one paragraph

Review in The Journal of biological chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. In Silico Characterization of Glycan Ions from IM-MS Collision Cross Section.Journal of the American Society for Mass Spectrometry · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Application of Mass Spectrometry in Drug Metabolism and Pharmacokinetics.Advances in experimental medicine and biology · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Absorption, distribution, metabolism, and excretion of [Pharmacology research & perspectives · 2017
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Mingshe ZhuBristol-Myers Squibb Pharmaceutical Company, Princeton, New Jersey 08543, USA.
Haiying Zhang
W Griffith Humphreys

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry plays a key role in drug metabolite identification, an integral part of drug discovery and development. The development of high-resolution (HR) MS instrumentation with improved accuracy and stability, along with new data processing techniques, has improved the quality and productivity of metabolite identification processes. In this minireview, HR-MS-based targeted and non-targeted acquisition methods and data mining techniques (e.g. mass defect, product ion, and isotope pattern filters and background subtraction) that facilitate metabolite identification are examined. Methods are presented that enable multiple metabolite identification tasks with a single LC/HR-MS platform and/or analysis. Also, application of HR-MS-based strategies to key metabolite identification activities and future developments in the field are discussed.

Indexed as

AnimalsData MiningHumansMass SpectrometryPharmaceutical PreparationsStatistics as TopicPharmaceutical Preparations

Identifiers

PMID21632546
PMCPMC3138308

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.