Evidence map›Paper›PMID 26255589›Full record

ArticleBiophysical journal2015

The Role of Conformational Dynamics and Allostery in the Disease Development of Human Ferritin.

Avishek Kumar, Tyler J Glembo, S Banu Ozkan

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Engineering gain-of-function mutants of a WW domain by dynamics and structural analysis.Protein science : a publication of the Protein Society · 2023
    Article
  10. Allosteric regulatory control in dihydrofolate reductase is revealed by dynamic asymmetry.Protein science : a publication of the Protein Society · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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.

Avishek KumarDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona.
Tyler J GlemboDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona.
S Banu OzkanDepartment of Physics and Center for Biological Physics, Arizona State University, Tempe, Arizona. Electronic address: banu.ozkan@asu.edu.

Funding

Center for the Rational Design of Membrane Protein CrystallographyU54GM094599 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI FROMME, PETRA · 2010 to 2014
$6.8M
Computational diagnosis of non-synonymous variations using structural dynamicsR21LM011941 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI GEREK INCE, ZEYNEP NEVIN · 2014 to 2015
$404k
NIGMS NIH HHS U54 GM094599NLM NIH HHS LM011941-01NLM NIH HHS R21 LM011941PHS HHS 1U54GN0945999
6 · The paper itself

Abstract

Determining the three-dimensional structure of myoglobin, the first solved structure of a protein, fundamentally changed the way protein function was understood. Even more revolutionary was the information that came afterward: protein dynamics play a critical role in biological functions. Therefore, understanding conformational dynamics is crucial to obtaining a more complete picture of protein evolution. We recently analyzed the evolution of different protein families including green fluorescent proteins (GFPs), β-lactamase inhibitors, and nuclear receptors, and we observed that the alteration of conformational dynamics through allosteric regulation leads to functional changes. Moreover, proteome-wide conformational dynamics analysis of more than 100 human proteins showed that mutations occurring at rigid residue positions are more susceptible to disease than flexible residue positions. These studies suggest that disease-associated mutations may impair dynamic allosteric regulations, leading to loss of function. Thus, in this study, we analyzed the conformational dynamics of the wild-type light chain subunit of human ferritin protein along with the neutral and disease forms. We first performed replica exchange molecular dynamics simulations of wild-type and mutants to obtain equilibrated dynamics and then used perturbation response scanning (PRS), where we introduced a random Brownian kick to a position and computed the fluctuation response of the chain using linear response theory. Using this approach, we computed the dynamic flexibility index (DFI) for each position in the chain for the wild-type and the mutants. DFI quantifies the resilience of a position to a perturbation and provides a flexibility/rigidity measurement for a given position in the chain. The DFI analysis reveals that neutral variants and the wild-type exhibit similar flexibility profiles in which experimentally determined functionally critical sites act as hinges in controlling the overall motion. However, disease mutations alter the conformational dynamic profile, making hinges more loose (i.e., softening the hinges), thus impairing the allosterically regulated dynamics.

Indexed as

Allosteric RegulationComputer SimulationFerritinsHumansModels, MolecularMutationNeurodegenerative DiseasesProtein ConformationFerritins

Identifiers

PMID26255589
PMCPMC4576160

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.