Evidence map›Paper›PMID 37313628›Full record

ArticleProtein science : a publication of the Protein Society2023

Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry.

I Can Kazan, Jeremy H Mills, S Banu Ozkan

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  4. A protein dynamics-based deep learning model enhances predictions of fitness and epistasis.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry.Protein science : a publication of the Protein Society · 2023
    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

3 authors at 1 institution in 1 country.

I Can KazanCenter for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0003-2593-4179
Jeremy H MillsSchool of Molecular Sciences and The Biodesign Center for Molecular Design and Biomimetics, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0003-2017-1846
S Banu OzkanCenter for Biological Physics and Department of Physics, Arizona State University, Tempe, Arizona, USA.
Arizona State University · US

Funding

Using dynamic network models to quantitatively predict changes in binding affinity/specificity that arise from long-range amino acid substitutionsR01GM147635 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI OZKAN, SEFIKA BANU, SWINT-KRUSE, LISKIN · 2022 to 2025
$1.8M
NIGMS NIH HHS R01 GM147635
6 · The paper itself

Abstract

We investigated the relationship between mutations and dynamics in Escherichia coli dihydrofolate reductase (DHFR) using computational methods. Our study focused on the M20 and FG loops, which are known to be functionally important and affected by mutations distal to the loops. We used molecular dynamics simulations and developed position-specific metrics, including the dynamic flexibility index (DFI) and dynamic coupling index (DCI), to analyze the dynamics of wild-type DHFR and compared our results with existing deep mutational scanning data. Our analysis showed a statistically significant association between DFI and mutational tolerance of the DHFR positions, indicating that DFI can predict functionally beneficial or detrimental substitutions. We also applied an asymmetric version of our DCI metric (DCI

Indexed as

Escherichia coli ProteinsTetrahydrofolate DehydrogenaseEscherichia coliMolecular Dynamics SimulationMutationEscherichia coli ProteinsTetrahydrofolate DehydrogenaseallosteryDHFRmolecular dynamicsmutationprotein dynamics

Identifiers

PMID37313628
PMCPMC10357497
OpenAlexW4380576675

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.