Evidence map›Paper›PMID 38995545›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Detection and Analysis of Short Linear Motif-Based Protein-Protein Interactions with SLiMAn2 Web Server.

Alexandre Mezghrani, Juliette Simon, Victor Reys, Gilles Labesse

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Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Alexandre MezghraniCentre de Biologie Structurale (CBS), CNRS, INSERM, University of Montpellier, Montpellier, France.
Juliette SimonCentre de Biologie Structurale (CBS), CNRS, INSERM, University of Montpellier, Montpellier, France.
Victor ReysCentre de Biologie Structurale (CBS), CNRS, INSERM, University of Montpellier, Montpellier, France. v.g.p.reys@uu.nl.
Gilles LabesseCentre de Biologie Structurale (CBS), CNRS, INSERM, University of Montpellier, Montpellier, France. labesse@cbs.cnrs.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactomics is bringing a deluge of data regarding protein-protein interactions (PPIs) which are involved in various molecular processes in all types of cells. However, this information does not easily translate into direct and precise molecular interfaces. This limits our understanding of each interaction network and prevents their efficient modulation. A lot of the detected interactions involve recognition of short linear motifs (SLiMs) by a folded domain while others rely on domain-domain interactions. Functional SLiMs hide among a lot of spurious ones, making deeper analysis of interactomes tedious. Hence, actual contacts and direct interactions are difficult to identify.Consequently, there is a need for user-friendly bioinformatic tools, enabling rapid molecular and structural analysis of SLiM-based PPIs in a protein network. In this chapter, we describe the use of the new webserver SLiMAn to help digging into SLiM-based PPIs in an interactive fashion.

Indexed as

Computational BiologyInternetProtein Interaction MappingSoftwareAmino Acid MotifsDatabases, ProteinHumansProtein BindingProtein Interaction Domains and MotifsProtein Interaction MapsProteinsProteinsComparative modelingInteractomesProtein sequenceProteome annotations

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What OpenQuestion holds

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Registered trials

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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.