Evidence map›Paper›PMID 35507260›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Predicting Protein Conformational Disorder and Disordered Binding Sites.

Ketty C Tamburrini, Giulia Pesce, Juliet Nilsson, Frank Gondelaud, Andrey V Kajava, Jean-Guy Berrin, Sonia Longhi

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Evaluation of predictions of disordered binding regions in the CAID2 experiment.Computational and structural biotechnology journal · 2025
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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.

Ketty C Tamburrini *Aix Marseille Univ, CNRS, Architecture et Fonction des Macromolécules Biologiques, AFMB, UMR 7257, Marseille, France.
Giulia Pesce *Aix Marseille Univ, CNRS, Architecture et Fonction des Macromolécules Biologiques, AFMB, UMR 7257, Marseille, France.
Juliet NilssonAix Marseille Univ, CNRS, Architecture et Fonction des Macromolécules Biologiques, AFMB, UMR 7257, Marseille, France.
Frank GondelaudAix Marseille Univ, CNRS, Architecture et Fonction des Macromolécules Biologiques, AFMB, UMR 7257, Marseille, France.
Andrey V KajavaCentre de Recherche en Biologie cellulaire de Montpellier, UMR 5237, CNRS, Université Montpellier, Montpellier, France.
Jean-Guy BerrinINRAE, Aix Marseille Univ, Biodiversité et Biotechnologie Fongiques (BBF), UMR 1163, Marseille, France.
Sonia LonghiAix Marseille Univ, CNRS, Architecture et Fonction des Macromolécules Biologiques, AFMB, UMR 7257, Marseille, France. sonia.longhi@univ-amu.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last two decades it has become increasingly evident that a large number of proteins adopt either a fully or a partially disordered conformation. Intrinsically disordered proteins are ubiquitous proteins that fulfill essential biological functions while lacking a stable 3D structure. Their conformational heterogeneity is encoded by the amino acid sequence, thereby allowing intrinsically disordered proteins or regions to be recognized based on their sequence properties. The identification of disordered regions facilitates the functional annotation of proteins and is instrumental for delineating boundaries of protein domains amenable to crystallization. This chapter focuses on the methods currently employed for predicting protein disorder and identifying intrinsically disordered binding sites.

Indexed as

Intrinsically Disordered ProteinsAmino Acid SequenceBinding SitesProtein BindingProtein ConformationProtein DomainsIntrinsically Disordered ProteinsDisorder databases and metaserversInduced foldingIntrinsically disordered binding sitesIntrinsically disordered proteinsIntrinsically disordered regionsIntrinsic disorderMoREsMoRFsPrediction methods and tools

Identifiers

PMID35507260

What Socratic holds

Textmetadata
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.