Evidence map›Paper›PMID 37817108›Full record

ReviewBMC biotechnology2023

Target identification of small molecules: an overview of the current applications in drug discovery.

Yasser Tabana, Dinesh Babu, Richard Fahlman, Arno G Siraki, Khaled Barakat

Abstract readReview
In one paragraph

Review in BMC biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Development of covalent inhibitors for bacterial histidine kinases.Chemical communications (Cambridge, England) · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Crafting Molecular Tools for 15-Lipoxygenase-1 in a Single Step.Angewandte Chemie (International ed. in English) · 2025
    Article
  19. Article
  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

5 authors.

Yasser TabanaFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada.
Dinesh BabuLi Ka Shing Applied Virology Institute, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Richard FahlmanDepartment of Biochemistry, University of Alberta, Edmonton, AB, Canada.
Arno G SirakiFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada.
Khaled BarakatFaculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada. kbarakat@ualberta.ca.

Funding

CIHR
6 · The paper itself

Abstract

Target identification is an essential part of the drug discovery and development process, and its efficacy plays a crucial role in the success of any given therapy. Although protein target identification research can be challenging, two main approaches can help researchers make significant discoveries: affinity-based pull-down and label-free methods. Affinity-based pull-down methods use small molecules conjugated with tags to selectively isolate target proteins, while label-free methods utilize small molecules in their natural state to identify targets. Target identification strategy selection is essential to the success of any drug discovery process and must be carefully considered when determining how to best pursue a specific project. This paper provides an overview of the current target identification approaches in drug discovery related to experimental biological assays, focusing primarily on affinity-based pull-down and label-free approaches, and discusses their main limitations and advantages.

Indexed as

Drug DiscoveryProteinsProteinsAffinity-based pull-downLabel-freeSmall moleculeTarget identification

Identifiers

PMID37817108
PMCPMC10566111

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.