Evidence map›Paper›PMID 36320893›Full record

ArticleRSC chemical biology2022

QSAR models reveal new EPAC-selective allosteric modulators.

Hebatallah Mohamed, Hongzhao Shao, Madoka Akimoto, Patrick Darveau, Marc R MacKinnon, Jakob Magolan, Giuseppe Melacini

Abstract read
In one paragraph

Article in RSC chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Role of EPAC1 in chronic pain.Biochemistry and biophysics reports · 2024
    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

7 authors.

Hebatallah MohamedDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton Ontario L8S 4L8 Canada melacin@mcmaster.ca.
Hongzhao ShaoDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton Ontario L8S 4L8 Canada melacin@mcmaster.ca.
Madoka AkimotoDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton Ontario L8S 4L8 Canada melacin@mcmaster.ca.ORCID https://orcid.org/0000-0003-0510-5613
Patrick DarveauDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton Ontario L8S 4L8 Canada melacin@mcmaster.ca.
Marc R MacKinnonDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton Ontario L8S 4L8 Canada.
Jakob MagolanDepartment of Biochemistry and Biomedical Sciences, McMaster University, Hamilton Ontario L8S 4L8 Canada.
Giuseppe MelaciniDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton Ontario L8S 4L8 Canada melacin@mcmaster.ca.ORCID https://orcid.org/0000-0003-1164-2853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exchange proteins directly activated by cAMP (EPAC) are guanine nucleotide exchange factors for the small GTPases, Rap1 and Rap2. They regulate several physiological functions and mitigation of their activity has been suggested as a possible treatment for multiple diseases such as cardiomyopathy, diabetes, chronic pain, and cancer. Several EPAC-specific modulators have been developed, however studies that quantify their structure-activity relationships are still lacking. Here we propose a quantitative structure-activity relationship (QSAR) model for a series of EPAC-specific compounds. The model demonstrated high reproducibility and predictivity and the predictive ability of the model was tested against a series of compounds that were unknown to the model. The compound with the highest predicted affinity was validated experimentally through fluorescence-based competition assays and NMR experiments revealed its mode of binding and mechanism of action as a partial agonist. The proposed QSAR model can, therefore, serve as an effective screening tool to identify promising EPAC-selective drug leads with enhanced potency.

Identifiers

PMID36320893
PMCPMC9533425

What Socratic 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 Socratic graph.