Evidence map›Paper›PMID 26579512›Full record

ArticleFrontiers in bioengineering and biotechnology2015

Characterization of Protein-Protein Interfaces through a Protein Contact Network Approach.

Luisa Di Paola, Chiara Bianca Maria Platania, Gabriele Oliva, Roberto Setola, Federica Pascucci, Alessandro Giuliani

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Journal of biosciences · 2022
    Review
  3. Article
  4. Disclosing Allostery Through Protein Contact Networks.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

6 authors.

Luisa Di PaolaFacoltà Dipartimentale di Ingegneria, Università Campus Bio-Medico di Roma , Rome , Italy.
Chiara Bianca Maria PlataniaDepartment of Biomedical and Biotechnological Sciences, University of Catania , Catania , Italy.
Gabriele OlivaFacoltà Dipartimentale di Ingegneria, Università Campus Bio-Medico di Roma , Rome , Italy.
Roberto SetolaFacoltà Dipartimentale di Ingegneria, Università Campus Bio-Medico di Roma , Rome , Italy.
Federica PascucciDipartimento di Informatica e Automazione, Università degli studi Roma Tre , Rome , Italy.
Alessandro GiulianiDipartimento di Ambiente e Connessa Prevenzione Primaria, Istituto Superiore di Sanità , Rome , Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthrax toxin comprises three different proteins, jointly acting to exert toxic activity: a non-toxic protective agent (PA), toxic edema factor (EF), and lethal factor (LF). Binding of PA to anthrax receptors promotes oligomerization of PA, binding of EF and LF, and then endocytosis of the complex. Homomeric forms of PA, complexes of PA bound to LF and to the endogenous receptor capillary morphogenesis gene 2 (CMG2) were analyzed. In this work, we characterized protein-protein interfaces (PPIs) and identified key residues at PPIs of complexes, by means of a protein contact network (PCN) approach. Flexibility and global and local topological properties of each PCN were computed. The vulnerability of each PCN was calculated using different node removal strategies, with reference to specific PCN topological descriptors, such as participation coefficient, contact order, and degree. The participation coefficient P, the topological descriptor of the node's ability to intervene in protein inter-module communication, was the key descriptor of PCN vulnerability of all structures. High P residues were localized both at PPIs and other regions of complexes, so that we argued an allosteric mechanism in protein-protein interactions. The identification of residues, with key role in the stability of PPIs, has a huge potential in the development of new drugs, which would be designed to target not only PPIs but also residues localized in allosteric regions of supramolecular complexes.

Indexed as

anthrax toxinnetwork resilienceprotein contact networksprotein–protein interactions

Identifiers

PMID26579512
PMCPMC4626657

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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.