Evidence map›Paper›PMID 30967564›Full record

ArticleScientific reports2019

The free energy landscape of the oncogene protein E7 of human papillomavirus type 16 reveals a complex interplay between ordered and disordered regions.

Predrag Kukic, Giuseppe Mattia Lo Piccolo, Marcela O Nogueira, Dmitri I Svergun, Michele Vendruscolo, Isabella C Felli, Roberta Pierattelli

Abstract read
In one paragraph

Article in Scientific reports, 2019. 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

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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

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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. Review
  3. Vital for Viruses: Intrinsically Disordered Proteins.Journal of molecular biology · 2023
    Review
  4. Article
  5. Article
  6. 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

7 authors.

Predrag KukicDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Giuseppe Mattia Lo PiccoloDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.ORCID http://orcid.org/0000-0002-4459-9807
Marcela O NogueiraMagnetic Resonance Center (CERM), University of Florence, 50019, Sesto Fiorentino, Italy.
Dmitri I SvergunEuropean Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, D-22603, Hamburg, Germany.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK. mv245@cam.ac.uk.ORCID http://orcid.org/0000-0002-3616-1610
Isabella C FelliMagnetic Resonance Center (CERM), University of Florence, 50019, Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0002-6018-9090
Roberta PierattelliMagnetic Resonance Center (CERM), University of Florence, 50019, Sesto Fiorentino, Italy.ORCID http://orcid.org/0000-0001-7755-0885

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When present, structural disorder makes it very challenging to characterise the conformational properties of proteins. This is particularly the case of proteins, such as the oncogene protein E7 of human papillomavirus type 16, which contain both ordered and disordered domains, and that can populate monomeric and oligomeric states under physiological conditions. Nuclear magnetic resonance (NMR) spectroscopy is emerging as a powerful method to study these complex systems, most notably in combination with molecular dynamics simulations. Here we use NMR chemical shifts and residual dipolar couplings as structural restraints in replica-averaged molecular dynamics simulations to determine the free energy landscape of E7. This landscape reveals a complex interplay between a folded but highly dynamical C-terminal domain and a disordered N-terminal domain that forms transient secondary and tertiary structures, as well as an equilibrium between a high-populated (98%) dimeric state and a low-populated (2%) monomeric state. These results provide compelling evidence of the complex conformational heterogeneity associated with the behaviour and interactions of this disordered protein associated with disease.

Indexed as

Amino Acid SequenceHuman papillomavirus 16HumansMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularPapillomavirus E7 ProteinsProtein Domainsoncogene protein E7, Human papillomavirus type 16Papillomavirus E7 Proteins

Identifiers

PMID30967564
PMCPMC6456579

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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.