Evidence map›Paper›PMID 38736696›Full record

ArticleComputational and structural biotechnology journal2024

AlloViz: A tool for the calculation and visualisation of protein allosteric communication networks.

Francho Nerín-Fonz, Camilla Caprai, Adrián Morales-Pastor, Marta Lopez-Balastegui, David Aranda-García, Toni Giorgino, Jana Selent

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The GPCRDiabetologia · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. EquilibraTor streamlines molecular dynamics simulations in a single execution.Computational and structural biotechnology journal · 2025
    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

7 authors.

Francho Nerín-FonzHospital del Mar Research Institute & Universitat Pompeu Fabra, C/ Dr. Aiguader 88, Barcelona, 08003, Spain.
Camilla CapraiDepartment of Biosciences, Università degli Studi di Milano, Via Celoria 26, Milan, 20133, Italy.
Adrián Morales-PastorHospital del Mar Research Institute & Universitat Pompeu Fabra, C/ Dr. Aiguader 88, Barcelona, 08003, Spain.
Marta Lopez-BalasteguiHospital del Mar Research Institute & Universitat Pompeu Fabra, C/ Dr. Aiguader 88, Barcelona, 08003, Spain.
David Aranda-GarcíaHospital del Mar Research Institute & Universitat Pompeu Fabra, C/ Dr. Aiguader 88, Barcelona, 08003, Spain.
Toni GiorginoNational Research Council of Italy, Biophysics Institute (CNR-IBF), Via Celoria 26, Milan, 20133, Italy.
Jana SelentHospital del Mar Research Institute & Universitat Pompeu Fabra, C/ Dr. Aiguader 88, Barcelona, 08003, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Allostery, the presence of functional interactions between distant parts of proteins, is a critical concept in the field of biochemistry and molecular biology, particularly in the context of protein function and regulation. Understanding the principles of allosteric regulation is essential for advancing our knowledge of biology and developing new therapeutic strategies. This paper presents AlloViz, an open-source Python package designed to quantitatively determine, analyse, and visually represent allosteric communication networks on the basis of molecular dynamics (MD) simulation data. The software integrates well-known techniques for understanding allosteric properties simplifying the process of accessing, rationalising, and representing protein allostery and communication routes. It overcomes the inefficiency of having multiple methods with heterogeneous implementations and showcases the advantages of using MD simulations and multiple replicas to obtain statistically sound information on protein dynamics; it also enables the calculation of "consensus-like" scores aggregating methods that consider multiple structural aspects of allosteric networks. We demonstrate the features of AlloViz on two proteins:

Identifiers

PMID38736696
PMCPMC11087696

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.