Evidence map›Paper›PMID 41970946›Full record

Reviewnpj drug discovery2026

Accelerating GPCR drug discovery through computation and experiment integrated with direct detection of ligand binding events.

Judith Su, Stephen B Liggett, Soo-Kyung Kim, Donghwa Kim, William A Goddard

Abstract readReview
In one paragraph

Review in npj drug discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Judith SuWyant College of Optical Sciences and Department of Biomedical Engineering, The University of Arizona, Arizona, USA.
Stephen B LiggettDepartment of Medicine, University of South Florida, Florida, USA.
Soo-Kyung KimMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA USA.
Donghwa KimDepartment of Medicine, University of South Florida, Florida, USA.
William A GoddardMaterials and Process Simulation Center, California Institute of Technology, Pasadena, CA USA.

Funding

Characterization of biased airway smooth muscle TAS2R agonists for treating asthmaR01HL155532 · NHLBI · UNIVERSITY OF SOUTH FLORIDA · PI LIGGETT, STEPHEN B · 2021 to 2024
$2.2M
NHLBI NIH HHS R01 HL155532
6 · The paper itself

Abstract

We present a perspective on an integrated workflow for GPCR drug discovery that combines computational modeling, functional cellular assays, and FLOWER, a label-free ultra-sensitive optical biosensing system for quantitating direct ligand receptor binding. We use bitter and sweet taste receptors (TAS2Rs and T1R2/T1R3) as examples of how FLOWER resolves receptor activation mechanisms left ambiguous after in silico screening and cell assays. This workflow offers a generalizable strategy for accelerating the discovery of selective and mechanism informed GPCR targeting therapeutics.

Indexed as

ChemistryComputational biology and bioinformaticsDrug discovery

Identifiers

PMID41970946
PMCPMC13065477

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.