Evidence map›Paper›PMID 32548853›Full record

ArticleProteins2020

Structural compliance: A new metric for protein flexibility.

Domenico Scaramozzino, Pranav M Khade, Robert L Jernigan, Giuseppe Lacidogna, Alberto Carpinteri

Abstract read
In one paragraph

Article in Proteins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Uses and Abuses of the Atomic Displacement Parameters in Structural Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Low-Frequency Harmonic Perturbations Drive Protein Conformational Changes.International journal of molecular sciences · 2021
    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

5 authors.

Domenico ScaramozzinoDepartment of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, Torino, Italy.ORCID 0000-0002-6235-8070
Pranav M KhadeBioinformatics and Computational Biology Program, Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, USA.ORCID 0000-0002-0756-9828
Robert L JerniganBioinformatics and Computational Biology Program, Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa, USA.ORCID 0000-0003-0996-8360
Giuseppe LacidognaDepartment of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, Torino, Italy.
Alberto CarpinteriDepartment of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi, Torino, Italy.

Funding

Protein Sequence MatchingR01GM127701 · NIGMS · IOWA STATE UNIVERSITY · PI JERNIGAN, ROBERT L, KLOCZKOWSKI, ANDRZEJ · 2018 to 2021
$1.4M
NIGMS NIH HHS 127701NIGMS NIH HHS R01 GM127701
6 · The paper itself

Abstract

Proteins are the active players in performing essential molecular activities throughout biology, and their dynamics has been broadly demonstrated to relate to their mechanisms. The intrinsic fluctuations have often been used to represent their dynamics and then compared to the experimental B-factors. However, proteins do not move in a vacuum and their motions are modulated by solvent that can impose forces on the structure. In this paper, we introduce a new structural concept, which has been called the structural compliance, for the evaluation of the global and local deformability of the protein structure in response to intramolecular and solvent forces. Based on the application of pairwise pulling forces to a protein elastic network, this structural quantity has been computed and sometimes is even found to yield an improved correlation with the experimental B-factors, meaning that it may serve as a better metric for protein flexibility. The inverse of structural compliance, namely the structural stiffness, has also been defined, which shows a clear anticorrelation with the experimental data. Although the present applications are made to proteins, this approach can also be applied to other biomolecular structures such as RNA. This present study considers only elastic network models, but the approach could be applied further to conventional atomic molecular dynamics. Compliance is found to have a slightly better agreement with the experimental B-factors, perhaps reflecting its bias toward the effects of local perturbations, in contrast to mean square fluctuations. The code for calculating protein compliance and stiffness is freely accessible at https://jerniganlab.github.io/Software/PACKMAN/Tutorials/compliance.

Indexed as

Neural Networks, ComputerSoftwareAgaricalesBiomechanical PhenomenaComplement C8ElasticityFungal ProteinsHumansInternetLectinsMolecular Dynamics SimulationComplement C8Fungal ProteinsLectinsB-factorelastic network modelprotein flexibilityprotein stiffnessstructural compliance

Identifiers

PMID32548853
PMCPMC7649752

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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 OpenQuestion graph.