Evidence map›Paper›PMID 37233895›Full record

ArticleThe protein journal2023

Thermodynamic Evolution of a Metamorphic Protein: A Theoretical-Computational Study of Human Lymphotactin.

Laura Zanetti-Polzi, Isabella Daidone, Claudio Iacobucci, Andrea Amadei

Abstract read
In one paragraph

Article in The protein journal, 2023. 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. Fold-Switching Proteins.Annual review of biophysics · 2026
    Review
  2. Enzyme Catalytic Parameters and Evolution Across the Dissipation Plane.International journal of molecular sciences · 2026
    Review
  3. Article
  4. 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.

Laura Zanetti-PolziCenter S3, CNR-Institute of Nanoscience, Via Campi 213/A, 100190, Modena, Italy.
Isabella DaidoneDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio (Coppito 1), 67010, L'Aquila, Italy.
Claudio IacobucciDepartment of Physical and Chemical Sciences, University of L'Aquila, Via Vetoio (Coppito 1), 67010, L'Aquila, Italy.
Andrea AmadeiDepartment of Chemical Science and Technology, University of Rome "Tor Vergata", Via Della Ricerca Scientifica 1, 00185, Rome, Italy. andrea.amadei@uniroma2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metamorphic, or fold-switching, proteins feature different folds that are physiologically relevant. The human chemokine XCL1 (or Lymphotactin) is a metamorphic protein that features two native states, an [Formula: see text] and an all[Formula: see text] fold, which have similar stability at physiological condition. Here, extended molecular dynamics (MD) simulations, principal component analysis of atomic fluctuations and thermodynamic modeling based on both the configurational volume and free energy landscape, are used to obtain a detailed characterization of the conformational thermodynamics of human Lymphotactin and of one of its ancestors (as was previously obtained by genetic reconstruction). Comparison of our computational results with the available experimental data show that the MD-based thermodynamics can explain the experimentally observed variation of the conformational equilibrium between the two proteins. In particular, our computational data provide an interpretation of the thermodynamic evolution in this protein, revealing the relevance of the configurational entropy and of the shape of the free energy landscape within the essential space (i.e., the space defined by the generalized internal coordinates providing the largest, typically non-Gaussian, structural fluctuations).

Indexed as

LymphokinesSialoglycoproteinsHumansMolecular Dynamics SimulationThermodynamicsLymphokineslymphotactinSialoglycoproteinsEssential dynamicsFold-switching proteinsMolecular dynamicsThermodynamic evolution

Identifiers

PMID37233895
PMCPMC10264484

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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 OpenQuestion graph.