Evidence map›Paper›PMID 22314977›Full record

ArticlePhysical biology2012

The importance of slow motions for protein functional loops.

Aris Skliros, Michael T Zimmermann, Debkanta Chakraborty, Saras Saraswathi, Ataur R Katebi, Sumudu P Leelananda, Andrzej Kloczkowski, Robert L Jernigan

Abstract read
In one paragraph

Article in Physical biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Aris SklirosL. H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA 50011, USA. Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011, USA.
Michael T Zimmermann
Debkanta Chakraborty
Saras Saraswathi
Ataur R Katebi
Sumudu P Leelananda
Andrzej Kloczkowski
Robert L Jernigan

Funding

Coarse-Grained Models of ProteinsR01GM072014 · NIGMS · IOWA STATE UNIVERSITY · PI JERNIGAN, ROBERT L · 2004 to 2012
$2.3M
Modeling Ribosomal Control, Function and AssemblyR01GM073095 · NIGMS · IOWA STATE UNIVERSITY · PI JERNIGAN, ROBERT L · 2006 to 2009
$1.0M
High-Accuracy Protein Models Derived from Lower Resolution DataR01GM081680 · NIGMS · IOWA STATE UNIVERSITY · PI KLOCZKOWSKI, ANDRZEJ · 2007 to 2009
$763k
NIGMS NIH HHS R01 GM072014NIGMS NIH HHS R01 GM073095NIGMS NIH HHS R01 GM081680
6 · The paper itself

Abstract

Loops in proteins that connect secondary structures such as alpha-helix and beta-sheet, are often on the surface and may play a critical role in some functions of a protein. The mobility of loops is central for the motional freedom and flexibility requirements of active-site loops and may play a critical role for some functions. The structures and behaviors of loops have not been studied much in the context of the whole structure and its overall motions, especially how these might be coupled. Here we investigate loop motions by using coarse-grained structures (C(α) atoms only) to solve the motions of the system by applying Lagrange equations with elastic network models to learn about which loops move in an independent fashion and which move in coordination with domain motions, faster and slower, respectively. The normal modes of the system are calculated using eigen-decomposition of the stiffness matrix. The contribution of individual modes and groups of modes is investigated for their effects on all residues in each loop by using Fourier analyses. Our results indicate overall that the motions of functional sets of loops behave in similar ways as the whole structure. But overall only a relatively few loops move in coordination with the dominant slow modes of motion, and these are often closely related to function.

Identifiers

PMID22314977
PMCPMC3783528

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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.