Evidence map›Paper›PMID 39069741›Full record

ArticleJournal of medicinal chemistry2024

Probing Protein-Ligand Methyl-π Interaction Geometries through Chemical Shift Measurements of Selectively Labeled Methyl Groups.

Andreas Beier, Gerald Platzer, Theresa Höfurthner, Aleksandra L Ptaszek, Roman J Lichtenecker, Leonhard Geist, Julian E Fuchs, Darryl B McConnell, Moriz Mayer, Robert Konrat

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. NMR Studies on Protein-Ligand Interactions.International journal of molecular sciences · 2026
    Review
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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

10 authors.

Andreas BeierChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max Perutz Laboratories, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria.ORCID 0000-0002-1934-8926
Gerald PlatzerMAG-LAB, Karl-Farkas-Gasse 22, 1030 Vienna, Austria.
Theresa HöfurthnerChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max Perutz Laboratories, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria.
Aleksandra L PtaszekChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max Perutz Laboratories, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria.
Roman J LichteneckerChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Institute of Organic Chemistry, University of Vienna, Währingerstraße 38, 1090 Vienna, Austria.
Leonhard GeistBoehringer Ingelheim RCV GmbH & Co. KG, Dr. Boehringergasse 5-11, 1121 Vienna, Austria.
Julian E FuchsBoehringer Ingelheim RCV GmbH & Co. KG, Dr. Boehringergasse 5-11, 1121 Vienna, Austria.
Darryl B McConnellCurie Bio, 177 Huntington Ave Ste 1703, Boston, Massachusetts 02115-3153, United States.ORCID 0000-0002-2537-3458
Moriz MayerBoehringer Ingelheim RCV GmbH & Co. KG, Dr. Boehringergasse 5-11, 1121 Vienna, Austria.
Robert KonratChristian Doppler Laboratory for High-Content Structural Biology and Biotechnology, Department of Structural and Computational Biology, Max Perutz Laboratories, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fragment-based drug design is heavily dependent on the optimization of initial low-affinity binders. Herein we introduce an approach that uses selective labeling of methyl groups in leucine and isoleucine side chains to directly probe methyl-π contacts, one of the most prominent forms of interaction between proteins and small molecules. Using simple NMR chemical shift perturbation experiments with selected BRD4-BD1 binders, we find good agreement with a commonly used model of the ring-current effect as well as the overall interaction geometries extracted from the Protein Data Bank. By combining both interaction geometries and chemical shift calculations as fit quality criteria, we can position dummy aromatic rings into an AlphaFold model of the protein of interest. The proposed method can therefore provide medicinal chemists with important information about binding geometries of small molecules in fast and iterative matter, even in the absence of high-resolution experimental structures.

Indexed as

Models, MolecularBromodomain Containing ProteinsCell Cycle ProteinsDrug DesignHumansLigandsMagnetic Resonance SpectroscopyNuclear ProteinsProtein BindingProteinsTranscription FactorsBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsLigandsNuclear ProteinsProteinsTranscription Factors

Identifiers

PMID39069741
PMCPMC11320577

What OpenQuestion holds

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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.