Evidence map›Paper›PMID 41980048›Full record

ArticleJournal of medicinal chemistry2026

A Systematic Benchmark Study of Free Energy Methods for Quantifying Light-Responsive Binding Affinities of Photoswitchable Antagonists of Beta-Adrenergic Receptors.

Mohammad Khavani, Amirhossein Bakhtiiari, Laleh Khalvati, Rob Leurs, Ruibin Liang

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2026. 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

5 authors.

Mohammad KhavaniDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.
Amirhossein BakhtiiariDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.
Laleh KhalvatiDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.
Rob LeursDivision of Medicinal Chemistry, Amsterdam Institute of Molecular and Life Sciences, Faculty of Science, Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, Netherlands.ORCID 0000-0003-1354-2848
Ruibin LiangDepartment of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, United States.ORCID 0000-0001-8741-1520

Funding

Understanding electronically non-adiabatic reactions in biomolecules with multiscale simulationsR35GM150780 · NIGMS · TEXAS TECH UNIVERSITY · PI Ruibin Liang · 2023 to 2026
$1.4M
NIGMS NIH HHS R35 GM150780
6 · The paper itself

Abstract

Molecular photoswitches enable spatiotemporal photocontrol of protein function, but their design requires high target selectivity and large light-dependent changes in binding affinity and/or efficacy. These properties are especially difficult to optimize in membrane receptors due to membrane-protein interactions. Computational design remains challenging because few benchmarks rigorously compare free-energy methods against experiment. Here, we establish such a benchmark for photoswitchable antagonists of β-adrenergic receptors, exemplifying most successful designs in the photopharmacology of class A G protein-coupled receptors (GPCRs) to date. We evaluated widely used free-energy methods for predicting how substituents and chirality affect light-responsive binding and subtype selectivity. Thermodynamic integration shows the best agreement with experiment, followed by umbrella sampling, whereas metadynamics and end-point methods perform poorly. Our simulations reveal interactions stabilizing

Indexed as

Adrenergic beta-AntagonistsLightReceptors, Adrenergic, betaReceptors, Adrenergic, beta-2HumansMolecular Dynamics SimulationProtein BindingThermodynamicsAdrenergic beta-AntagonistsReceptors, Adrenergic, betaReceptors, Adrenergic, beta-2

Identifiers

PMID41980048
PMCPMC13126680

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.