Computational Evaluation of Peroxisomal Targeting Signals in Metazoa.

Peroxisomal Targeting Signals / genetics Peroxisomes / metabolism Animals Protein Transport Algorithms Consensus Sequence
Alternative targeting signals Bilocalization PTS1-predictor Peroxisomes Prediction Protein transport Receptor protein Targeting signal

Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2023
Historique:
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 28 3 2023
Statut: ppublish

Résumé

Most soluble proteins enclosed in peroxisomes encode either type-1 or type-2 peroxisomal targeting signals (PTS1 or PTS2), which act as postal codes and define the proteins' intracellular destination. Thus, various computational programs have been developed to evaluate the probability of specific peptide sequences for being a functional PTS or to scan the primary sequence of proteins for such signals. Among these prediction algorithms the PTS1-predictor ( https://mendel.imp.ac.at/pts1/ ) has been amply used, but the research logic of this and other PTS1 prediction tools is occasionally misjudged giving rise to characteristic pitfalls. Here, a proper utilization of the PTS1-predictor is introduced together with a framework of additional tests to increase the validity of the interpretation of results. Moreover, a list of possible causes for a mismatch between results of such predictions and experimental outcomes is provided. However, the foundational arguments apply to other prediction tools for PTS1 motifs as well.

Identifiants

DOI: 10.1007/978-1-0716-3048-8_28 PMID: 36952201
pubmed: 36952201
doi: 10.1007/978-1-0716-3048-8_28
doi:

Substances chimiques

Peroxisomal Targeting Signals 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

391-404

Informations de copyright

© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Markus Kunze (M)

Department of Pathobiology of the Nervous System, Center for Brain Research, Medical University of Vienna, Vienna, Austria. markus.kunze@meduniwien.ac.at.

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Classifications MeSH

questionsmedicales.fr › Phénomènes chimiques › Phénomènes biochimiques › Signaux de triage des protéines › Séquences d'adressage au péroxysome › Computational Evaluation of Peroxisomal...
questionsmedicales.fr › Cellules › Structures cellulaires › Espace intracellulaire › Cytoplasme › Structures cytoplasmiques › Organites › Vésicules cytoplasmiques › Granulations cytoplasmiques › Microcorps › Péroxysomes › Computational Evaluation of Peroxisomal...
questionsmedicales.fr › Eucaryotes › Animaux › Computational Evaluation of Peroxisomal...
questionsmedicales.fr › Métabolisme › Transport biologique › Transport des protéines › Computational Evaluation of Peroxisomal...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Algorithmes › Computational Evaluation of Peroxisomal...
questionsmedicales.fr › Phénomènes chimiques › Phénomènes biochimiques › Séquence conservée › Séquence consensus › Computational Evaluation of Peroxisomal...