Evidence map›Paper›PMID 24625758›Full record

ArticlePloS one2014

Specific non-local interactions are not necessary for recovering native protein dynamics.

Bhaskar Dasgupta, Kota Kasahara, Narutoshi Kamiya, Haruki Nakamura, Akira R Kinjo

Abstract read
In one paragraph

Article in PloS one, 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Bhaskar DasguptaInstitute for Protein Research, Osaka University, Suita, Osaka, Japan.
Kota KasaharaInstitute for Protein Research, Osaka University, Suita, Osaka, Japan.
Narutoshi KamiyaInstitute for Protein Research, Osaka University, Suita, Osaka, Japan.
Haruki NakamuraInstitute for Protein Research, Osaka University, Suita, Osaka, Japan.
Akira R KinjoInstitute for Protein Research, Osaka University, Suita, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elastic network model (ENM) is a widely used method to study native protein dynamics by normal mode analysis (NMA). In ENM we need information about all pairwise distances, and the distance between contacting atoms is restrained to the native value. Therefore ENM requires O(N2) information to realize its dynamics for a protein consisting of N amino acid residues. To see if (or to what extent) such a large amount of specific structural information is required to realize native protein dynamics, here we introduce a novel model based on only O(N) restraints. This model, named the 'contact number diffusion' model (CND), includes specific distance restraints for only local (along the amino acid sequence) atom pairs, and semi-specific non-local restraints imposed on each atom, rather than atom pairs. The semi-specific non-local restraints are defined in terms of the non-local contact numbers of atoms. The CND model exhibits the dynamic characteristics comparable to ENM and more correlated with the explicit-solvent molecular dynamics simulation than ENM. Moreover, unrealistic surface fluctuations often observed in ENM were suppressed in CND. On the other hand, in some ligand-bound structures CND showed larger fluctuations of buried protein atoms interacting with the ligand compared to ENM. In addition, fluctuations from CND and ENM show comparable correlations with the experimental B-factor. Although there are some indications of the importance of some specific non-local interactions, the semi-specific non-local interactions are mostly sufficient for reproducing the native protein dynamics.

Indexed as

Molecular Dynamics SimulationProtein ConformationAlgorithmsAmino AcidsComputational BiologyDatabases, ProteinElasticityHumansLigandsProtein BindingProteinsSolventsSurface PropertiesAmino AcidsLigandsProteinsSolvents

Identifiers

PMID24625758
PMCPMC3953337

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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.