Evidence mapPaperPMID 38680367Full record

ReviewACS omega2024

Biophysical Assays for Investigating Modulators of Macromolecular Complexes: An Overview.

Martina Garbagnoli, Pasquale Linciano, Roberta Listro, Giacomo Rossino, Francesca Vasile, Simona Collina

Abstract readReview
In one paragraph

Review in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. HuR-Targeted Small Molecules ReduceInternational journal of molecular sciences · 2025
    Article
  3. Review
  4. 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

6 authors.

Martina GarbagnoliDepartment of Drug Sciences, University of Pavia, viale Taramelli 12, Pavia 27100, Italy.
Pasquale LincianoDepartment of Drug Sciences, University of Pavia, viale Taramelli 12, Pavia 27100, Italy.ORCID https://orcid.org/0000-0003-0382-7479
Roberta ListroDepartment of Drug Sciences, University of Pavia, viale Taramelli 12, Pavia 27100, Italy.ORCID https://orcid.org/0000-0001-7615-1284
Giacomo RossinoDepartment of Drug Sciences, University of Pavia, viale Taramelli 12, Pavia 27100, Italy.
Francesca VasileDepartment of Chemistry, University of Milan, Via Golgi 19, Milano 20133, Italy.
Simona CollinaDepartment of Drug Sciences, University of Pavia, viale Taramelli 12, Pavia 27100, Italy.ORCID https://orcid.org/0000-0002-2954-7558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery is a lengthy and intricate process, and in its early stage, crucial steps are the selection of the therapeutic target and the identification of novel ligands. Most targets are dysregulated in pathogenic cells; typically, their activation or deactivation leads to the desired effect, while in other cases, interfering with the target-natural binder complex achieves the therapeutic results. Biophysical assays are a suitable strategy for finding new ligands or interferent agents, being able to evaluate ligand-protein interactions and assessing the effect of small molecules (SMols) on macromolecular complexes. This mini-review provides a detailed analysis of widely used biophysical methods, including fluorescence-based approaches, circular dichroism, isothermal titration calorimetry, microscale thermophoresis, and NMR spectroscopy. After a brief description of the methodologies, examples of interaction and competition experiments are described, together with an analysis of the advantages and disadvantages of each technique. This mini-review provides an overview of the most relevant biophysical technologies that can help in identifying SMols able not only to bind proteins but also to interfere with macromolecular complexes.

Identifiers

PMID38680367
PMCPMC11044174

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.