Evidence map›Paper›PMID 38927095›Full record

ReviewBiomolecules2024

Advances in Integrated Multi-omics Analysis for Drug-Target Identification.

Peiling Du, Rui Fan, Nana Zhang, Chenyuan Wu, Yingqian Zhang

Abstract readReview
In one paragraph

Review in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. AI-Driven Polypharmacology in Small-Molecule Drug Discovery.International journal of molecular sciences · 2025
    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

5 authors.

Peiling DuSchool of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Rui FanSchool of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Nana ZhangSchool of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Chenyuan WuSchool of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Yingqian ZhangSchool of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0001-6158-4992

Funding

National Natural Science Foundation of China, Nature Science Foundation of Zhejiang Province, Nature Scientific Research Foundation for Scholars of Hangzhou Normal University 22207027, LQ22B020003, 2021QDL041
6 · The paper itself

Abstract

As an essential component of modern drug discovery, the role of drug-target identification is growing increasingly prominent. Additionally, single-omics technologies have been widely utilized in the process of discovering drug targets. However, it is difficult for any single-omics level to clearly expound the causal connection between drugs and how they give rise to the emergence of complex phenotypes. With the progress of large-scale sequencing and the development of high-throughput technologies, the tendency in drug-target identification has shifted towards integrated multi-omics techniques, gradually replacing traditional single-omics techniques. Herein, this review centers on the recent advancements in the domain of integrated multi-omics techniques for target identification, highlights the common multi-omics analysis strategies, briefly summarizes the selection of multi-omics analysis tools, and explores the challenges of existing multi-omics analyses, as well as the applications of multi-omics technology in drug-target identification.

Indexed as

Drug DiscoveryGenomicsProteomicsComputational BiologyHumansMetabolomicsMultiomicsdrug targetmulti-omicsproteogenomicssingle-cell multi-omicsspatial multi-omics

Identifiers

PMID38927095
PMCPMC11201992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.