Evidence map›Paper›PMID 29177113›Full record

ArticlePeerJ2017

PBxplore: a tool to analyze local protein structure and deformability with Protein Blocks.

Jonathan Barnoud, Hubert Santuz, Pierrick Craveur, Agnel Praveen Joseph, Vincent Jallu, Alexandre G de Brevern, Pierre Poulain

Abstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Impact of Ruxolitinib Interactions on JAK2 JH1 Domain Dynamics.International journal of molecular sciences · 2025
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  6. Evaluation of the Potential Impact of In Silico Humanization on VInternational journal of molecular sciences · 2023
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  9. General Trends of theInternational journal of molecular sciences · 2023
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  10. VInternational journal of molecular sciences · 2022
    Review
  11. Analysis of Integrin αInternational journal of molecular sciences · 2022
    Article
  12. Insights into Comparative Modeling of VInternational journal of molecular sciences · 2021
    Article
  13. PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.International journal of molecular sciences · 2021
    Article
  14. Article
  15. Article
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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

7 authors.

Jonathan Barnoud *INSERM, U 1134, DSIMB, Paris, France.
Hubert Santuz *INSERM, U 1134, DSIMB, Paris, France.
Pierrick CraveurINSERM, U 1134, DSIMB, Paris, France.
Agnel Praveen JosephINSERM, U 1134, DSIMB, Paris, France.
Vincent JalluPlatelet Unit, INTS, Paris, France.
Alexandre G de Brevern *INSERM, U 1134, DSIMB, Paris, France.
Pierre Poulain *INSERM, U 1134, DSIMB, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the development and application of a suite of tools, called PBxplore, to analyze the dynamics and deformability of protein structures using Protein Blocks (PBs). Proteins are highly dynamic macromolecules, and a classical way to analyze their inherent flexibility is to perform molecular dynamics simulations. The advantage of using small structural prototypes such as PBs is to give a good approximation of the local structure of the protein backbone. More importantly, by reducing the conformational complexity of protein structures, PBs allow analysis of local protein deformability which cannot be done with other methods and had been used efficiently in different applications. PBxplore is able to process large amounts of data such as those produced by molecular dynamics simulations. It produces frequencies, entropy and information logo outputs as text and graphics. PBxplore is available at https://github.com/pierrepo/PBxplore and is released under the open-source MIT license.

Indexed as

DeformabilityProteinProtein blocksPythonStructural alphabetStructure

Identifiers

PMID29177113
PMCPMC5700758

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.