Evidence map›Paper›PMID 19917238›Full record

ArticleBiophysical journal2009

Tetracycline-tet repressor binding specificity: insights from experiments and simulations.

Alexey Aleksandrov, Linda Schuldt, Winfried Hinrichs, Thomas Simonson

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Biophysical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

9 citing papers in PubMed, 22 citations in OpenAlex.

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  4. A Multi-Tetracycline Responsive Induction System for Gene Expression inbioRxiv : the preprint server for biology · 2025
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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

4 authors at 3 institutions in 2 countries.

Alexey AleksandrovLaboratoire de Biochimie, Department of Biology, Ecole Polytechnique, Centre National de la Recherche Scientifique UMR 7654, Palaiseau, France.
Linda Schuldt
Winfried Hinrichs
Thomas Simonson
Universität Greifswald · DECentre National de la Recherche Scientifique · FRÉcole Polytechnique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tetracycline (Tc) antibiotics have been put to new uses in the construction of artificial gene regulation systems, where they bind to the Tet repressor protein (TetR) and modulate its affinity for DNA. Many Tc variants have been produced, both to overcome bacterial resistance and to achieve a broad range of binding strengths. To better understand TetR-Tc binding, we investigate a library of 16 tetracyclines, using fluorescence experiments and molecular dynamics free energy simulations (MDFE). The relative TetR binding free energies are computed by reversibly transforming one Tc variant into another during the simulation, with no adjustable parameters. The chemical variations involve polar and nonpolar substitutions along one entire edge of the elongated Tc structure, which provides many of the protein-ligand contacts. The binding constants span five orders of magnitude. The simulations reproduce the experimental binding free energies, when available, within the uncertainty of either method (+/-0.5 kcal/mol), and reveal many additional details. Contributions of individual Tc substituents are evaluated, along with their additivity and transferability among different positions on the Tc scaffold; differences between D- and B-class repressors are quantified. With increasing computer power, the MDFE approach provides an attractive complement to experiment and should play an increasing role in the understanding and engineering of protein-ligand recognition.

Indexed as

Anti-Bacterial AgentsComputer SimulationFluorescenceHydrophobic and Hydrophilic InteractionsModels, ChemicalModels, MolecularProtein BindingRepressor ProteinsTetracyclineAnti-Bacterial AgentsRepressor ProteinsTetracyclinetetracycline resistance-encoding transposon repressor protein

Identifiers

PMID19917238
PMCPMC2776281
OpenAlexW1979047766

What OpenQuestion holds

Textmetadata
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.