Evidence map›Paper›PMID 35351998›Full record

ReviewNature reviews. Drug discovery2022

The emerging role of mass spectrometry-based proteomics in drug discovery.

Felix Meissner, Jennifer Geddes-McAlister, Matthias Mann, Marcus Bantscheff

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
–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

149 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Proteomics-Driven Strategies for Proximity-Inducing Drug Discovery.Angewandte Chemie (International ed. in English) · 2026
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89 more citing papers are in PubMed but not listed here.

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

4 authors.

Felix MeissnerExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany. felix.meissner@uni-bonn.de.ORCID 0000-0003-1000-7989
Jennifer Geddes-McAlisterExperimental Systems Immunology, Max Planck Institute of Biochemistry, Martinsried, Germany.
Matthias MannDepartment of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada.ORCID 0000-0003-1292-4799
Marcus BantscheffCellzome GmbH, Heidelberg, Germany. marcus.x.bantscheff@gsk.com.ORCID 0000-0002-8343-8977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are the main targets of most drugs; however, system-wide methods to monitor protein activity and function are still underused in drug discovery. Novel biochemical approaches, in combination with recent developments in mass spectrometry-based proteomics instrumentation and data analysis pipelines, have now enabled the dissection of disease phenotypes and their modulation by bioactive molecules at unprecedented resolution and dimensionality. In this Review, we describe proteomics and chemoproteomics approaches for target identification and validation, as well as for identification of safety hazards. We discuss innovative strategies in early-stage drug discovery in which proteomics approaches generate unique insights, such as targeted protein degradation and the use of reactive fragments, and provide guidance for experimental strategies crucial for success.

Indexed as

Drug DiscoveryProteomicsMass SpectrometryProteinsProteins

Identifiers

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.