Evidence map›Paper›PMID 40758841›Full record

ArticleJournal of chemical information and modeling2025

Efficient Characterization of GPCRs Allosteric Modulation: Application to the Rational Design of De Novo S1PR1 Allosteric Modulators.

Alejandro Cruz, Arieh Warshel

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Alejandro CruzDepartment of Chemistry, University of Southern California, Los Angeles, California 90089-1062, United States.ORCID 0000-0003-0928-0718
Arieh WarshelDepartment of Chemistry, University of Southern California, Los Angeles, California 90089-1062, United States.ORCID 0000-0001-7971-5401

Funding

Multiscale Simulations of Biological Systems and ProcessesR35GM122472 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARIEH WARSHEL · 2017 to 2026
$5.0M
NIGMS NIH HHS R35 GM122472
6 · The paper itself

Abstract

G-protein-coupled receptors (GPCRs) constitute the largest superfamily of integral membrane proteins in the human genome that mediate most transmembrane signaling processes. Malfunction of these signaling processes is related to many human pathologies (Parkinson's, heart diseases, etc.), causing GPCRs to be the largest family of druggable proteins. Traditionally, GPCRs were targeted by orthosteric ligands. However, this regulation usually causes side effects, provoking many GPCRs-associated pathologies to remain without an effective treatment. Allosteric regulation offers a promising alternative to circumvent this problem, and consequently, comprehending its details is of utmost importance. For this reason, we developed in the present work a methodology to study the allosteric modulation in a comprehensive way. Specifically, this methodology allows calculating the free energy profiles (Δ

Indexed as

Drug DesignReceptors, G-Protein-CoupledSphingosine-1-Phosphate ReceptorsAllosteric RegulationHumansLigandsMolecular Dynamics SimulationThermodynamicsLigandsReceptors, G-Protein-CoupledS1PR1 protein, humanSphingosine-1-Phosphate Receptors

Identifiers

PMID40758841
PMCPMC12414537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.