Evidence map›Paper›PMID 29172668›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2018

Symmetrical Parameterization of Rigid Body Transformations for Biomolecular Structures.

Jin Seob Kim, Gregory S Chirikjian

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jin Seob KimDepartment of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland.
Gregory S ChirikjianDepartment of Mechanical Engineering, Johns Hopkins University , Baltimore, Maryland.

Funding

Information Fusion in Biomolecular Structure and Motion DeterminationR01GM113240 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CHIRIKJIAN, GREGORY · 2014 to 2018
$1.9M
NIGMS NIH HHS R01 GM113240
6 · The paper itself

Abstract

Assessing preferred relative rigid body position and orientation is important in the description of biomolecular structures (such as proteins) and their interactions. In this article, we extend and apply the "symmetrical parameterization," which we recently introduced in the kinematics community, to address problems in structural biology. We also review parameterization methods that are widely used in structural biology to describe relative rigid body motions (in particular, orientations) as a basis for comparison. The new symmetrical parameterization is useful in describing the relative biomolecular rigid body motions, where the parameters are symmetrical in the sense that the subunits of a complex biomolecular structure are described in the same way for the corresponding motion and its inverse. The properties of this new parameterization, singularity analysis, and inverse kinematics are also investigated in more detail. Finally, parameterization is applied to real biomolecular structures and a potential application to structure modeling of symmetric macromolecules to show the efficacy of the symmetrical parameterization in the field of computational structural biology.

Indexed as

AlgorithmsBiomechanical PhenomenaComputational BiologyMolecular Dynamics SimulationMotionSequence Analysisbiomolecular structurerigid body transformationrotationsymmetrical parameterization

Identifiers

PMID29172668
PMCPMC5757073

What OpenQuestion holds

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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.