Evidence map›Paper›PMID 24323885›Full record

ArticleJournal of computational chemistry2014

Decoding the components of dynamics in three-domain proteins.

Mateusz Maciejewski, Paul N Barlow, Nico Tjandra

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Mateusz MaciejewskiCenter for Proteomic Chemistry, Novartis Institutes for Biomedical Research, 250 Massachusetts Ave., Cambridge, Massachusetts, 02139.
Paul N Barlow
Nico Tjandra

Funding

Nmr Studies Of The Regulation Of Cell SignalingZIAHL001048 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI TJANDRA, NICO · 2009 to 2025
$20.1M
Intramural NIH HHS ZIA HL001048Wellcome Trust
6 · The paper itself

Abstract

In this study, we examine the feasibility and limitations of describing the motional behavior of three-domain proteins in which the domains are linearly connected. In addition to attempting the determination of the internal and overall reorientational correlation times, we investigate the existence of correlations in the motions between the three domains. Since in linearly arranged three-domain proteins, there are typically no experimental data that can directly report on motional correlation between the first and the third domain, we address this question by dynamics simulations. Two limiting cases occur: (1) for weak repulsive potentials and (2) when strong repulsive potentials are applied between sequential domains. The motions of the terminal domains become correlated in the case of strong interdomain repulsive potentials when these potentials do not allow the angle between the sequential domains to be smaller than about 60°. Using the model-free (MF) and extended MF formalisms of Lipari and Szabo, we find that the motional behavior can be separated into two components; the first component represents the concerted overall motion of the three domains, and the second describes the independent component of the motion of each individual domain. We find that this division of the motional behavior of the protein is maintained only when their timescales are distinct and can be made when the angles between sequential domains remain between 60° and 160°. In this work, we identify and quantify interdomain motional correlations.

Indexed as

AlgorithmsMolecular Docking SimulationNuclear Magnetic Resonance, BiomolecularProtein ConformationProteinsProtein Structure, TertiaryProteinsinterdomain dynamicsnuclear magnetic resonanceprotein dynamicsprotein functionprotein structure

Identifiers

PMID24323885
PMCPMC4181349

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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.