Evidence map›Paper›PMID 26545107›Full record

ArticlePloS one2015

The Unfolding MD Simulations of Cyclophilin: Analyzed by Surface Contact Networks and Their Associated Metrics.

Sourav Roy, Sankar Basu, Dipak Dasgupta, Dhananjay Bhattacharyya, Rahul Banerjee

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. CPJournal of molecular modeling · 2017
    Article
  4. 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

5 authors.

Sourav RoySaha Institute of Nuclear Physics, Sector 1, Block AF, Bidhannagar, Kolkata, 700064 India.
Sankar BasuSaha Institute of Nuclear Physics, Sector 1, Block AF, Bidhannagar, Kolkata, 700064 India.
Dipak DasguptaSaha Institute of Nuclear Physics, Sector 1, Block AF, Bidhannagar, Kolkata, 700064 India.
Dhananjay BhattacharyyaSaha Institute of Nuclear Physics, Sector 1, Block AF, Bidhannagar, Kolkata, 700064 India.
Rahul BanerjeeSaha Institute of Nuclear Physics, Sector 1, Block AF, Bidhannagar, Kolkata, 700064 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, considerable interest exists with regard to the dissociation of close packed aminoacids within proteins, in the course of unfolding, which could result in either wet or dry moltenglobules. The progressive disjuncture of residues constituting the hydrophobic core ofcyclophilin from L. donovani (LdCyp) has been studied during the thermal unfolding of the molecule, by molecular dynamics simulations. LdCyp has been represented as a surface contactnetwork (SCN) based on the surface complementarity (Sm) of interacting residues within themolecular interior. The application of Sm to side chain packing within proteins make it a very sensitive indicator of subtle perturbations in packing, in the thermal unfolding of the protein. Network based metrics have been defined to track the sequential changes in the disintegration ofthe SCN spanning the hydrophobic core of LdCyp and these metrics prove to be highly sensitive compared to traditional metrics in indicating the increased conformational (and dynamical) flexibility in the network. These metrics have been applied to suggest criteria distinguishing DMG, WMG and transition state ensembles and to identify key residues involved in crucial conformational/topological events during the unfolding process.

Indexed as

CyclophilinsHydrophobic and Hydrophilic InteractionsLeishmania donovaniMolecular Dynamics SimulationProtein ConformationProtein Structure, SecondaryProtein UnfoldingProtozoan ProteinsSurface PropertiesCyclophilinsProtozoan Proteins

Identifiers

PMID26545107
PMCPMC4636149

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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.