Evidence map›Paper›PMID 22448847›Full record

ArticleThe journal of physical chemistry. B2012

fSUB: normal mode analysis with flexible substructures.

Mingyang Lu, Dengming Ming, Jianpeng Ma

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2012. 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. Molecular dynamics simulations of large macromolecular complexes.Current opinion in structural biology · 2015
    Review
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.

Mingyang LuVerna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, One Baylor Plaza Houston, Texas 77030, United States.
Dengming Ming
Jianpeng Ma

Funding

New Simulation Methods at Multi-Scales and -ResolutionsR01GM067801 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI MA, JIANPENG · 2003 to 2015
$3.4M
NIGMS NIH HHS R01 GM067801NIGMS NIH HHS R01-GM067801
6 · The paper itself

Abstract

In this paper, we report a novel normal-mode analysis for supramolecular complexes, named fSUB. The method models a complex as a group of flexible substructures. The low-frequency substructure modes are first determined with substructures in isolation, and the motions of the whole complex are then calculated on the basis of substructure modes and substructure-substructure interactions. The calculation of modes in fSUB requires modal analysis without initial energy minimization, which is essential for maintaining energetic and structural consistency between substructures and whole complex. Compared with other coarse-grained methods, such as the RTB method, fSUB delivers much more accurate modes for the complex and allows for the choice of much larger substructures. The method can also accommodate any type of substructure arrangement including covalent bonds across the interface. In tests on molecular chaperonin GroEL (7350 residues) and HK97 capsid complex (118,092 residues), fSUB was shown to be much more efficient in terms of combined accuracy and demand of computing resources. Our results clearly demonstrated the vital importance of including substructure flexibility in complex modal analysis, as the deformational patterns of substructures were found to play an important role even in the lowest frequency modes of the whole complex.

Indexed as

Computer SimulationModels, MolecularBacterial ProteinsBacteriophagesCapsidChaperonin 60ElasticityEscherichia coliHelicobacter pyloriProtein ConformationRepressor ProteinsBacterial ProteinsChaperonin 60ferric uptake regulating proteins, bacterialRepressor Proteins

Identifiers

PMID22448847
PMCPMC3547612

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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.