Evidence map›Paper›PMID 39804153›Full record

ArticleJournal of chemical theory and computation2025

Ligand Reorganization for End-Point Binding Free Energy Calculations: Identifying Preferred Poses of Fentanyls in the μ Opioid Receptor.

David D L Minh, David A Cooper, Bing Xie, Lei Shi

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. 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. Article
  2. 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

4 authors.

David D L MinhDepartment of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States.ORCID 0000-0002-4802-2618
David A CooperDepartment of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
Bing XieComputational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, United States.
Lei ShiComputational Chemistry and Molecular Biophysics Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse - Intramural Research Program, National Institutes of Health, Baltimore, Maryland 21224, United States.ORCID 0000-0002-4137-096X

Funding

Structural basis for the functions of dopamine receptors, neurotransmitter transporters, and sigma 1 receptorZIADA000606 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI SHI, LEI · 2015 to 2025
$20.5M
Entropy for End-Point and FFT-Based Binding Free Energy CalculationsR01GM127712 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI MINH, DAVID DO LE · 2018 to 2021
$1.3M
Intramural NIH HHS ZIA DA000606NIGMS NIH HHS R01 GM127712
6 · The paper itself

Abstract

We have developed a method that uses energy landscapes of unbound and bound ligands to compute reorganization free energies for end-point binding free-energy calculations. The method is applied to our previous simulations of fentanyl derivatives bound to the μ opioid receptor in different orientations. Whereas the mean interaction energy provides an ambiguous ranking of binding poses, interaction entropy and ligand reorganization strongly penalize geometric decoys such that native poses observed in CryoEM structures are best ranked. The binding pose of fentanyl is driven by the interaction entropy. Binding of (3

Indexed as

FentanylReceptors, Opioid, muBinding SitesHumansLigandsMolecular Dynamics SimulationProtein BindingThermodynamicsFentanylLigandsReceptors, Opioid, mu

Identifiers

PMID39804153
PMCPMC12817623

What Socratic holds

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Registered trials

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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.