Evidence map›Paper›PMID 23865897›Full record

ArticleBMC bioinformatics2013

Classification of protein motifs based on subcellular localization uncovers evolutionary relationships at both sequence and functional levels.

Marcos Parras-Moltó, Francisco J Campos-Laborie, Juan García-Diéguez, M Rosario Rodríguez-Griñolo, Antonio J Pérez-Pulido

Abstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 3 Biotech · 2020
    Article
  6. Article
  7. Moonlighting proteins in cancer.Cancer letters · 2016
    Review
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

5 authors.

Marcos Parras-MoltóCentro Andaluz de Biologia del Desarrollo (CABD, UPO-CSIC-JA), Facultad de Ciencias Experimentales (Área de Genética), Universidad Pablo de Olavide, 41013, Sevilla, Spain.
Francisco J Campos-Laborie
Juan García-Diéguez
M Rosario Rodríguez-Griñolo
Antonio J Pérez-Pulido

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost proteins have evolved in specific cellular compartments that limit their functions and potential interactions. On the other hand, motifs define amino acid arrangements conserved between protein family members and represent powerful tools for assigning function to protein sequences. The ideal motif would identify all members of a protein family but in practice many motifs identify both family members and unrelated proteins, referred to as True Positive (TP) and False Positive (FP) sequences, respectively.

resultsTo address the relationship between protein motifs, protein function and cellular localization, we systematically assigned subcellular localization data to motif sequences from the comprehensive PROSITE sequence motif database. Using this data we analyzed relationships between localization and function. We find that TPs and FPs have a strong tendency to localize in different compartments. When multiple localizations are considered, TPs are usually distributed between related cellular compartments. We also identified cases where FPs are concentrated in particular subcellular regions, indicating possible functional or evolutionary relationships with TP sequences of the same motif.

conclusionsOur findings suggest that the systematic examination of subcellular localization has the potential to uncover evolutionary and functional relationships between motif-containing sequences. We believe that this type of analysis complements existing motif annotations and could aid in their interpretation. Our results shed light on the evolution of cellular organelles and potentially establish the basis for new subcellular localization and function prediction algorithms.

Indexed as

Evolution, MolecularAlgorithmsAmino Acid MotifsAmino Acid SequenceComputational BiologyDatabases, ProteinMultigene FamilyProteinsProtein Structure, TertiaryProteins

Identifiers

PMID23865897
PMCPMC3724711

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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.