In-Pero: Exploiting Deep Learning Embeddings of Protein Sequences to Predict the Localisation of Peroxisomal Proteins

Peroxisomes are ubiquitous membrane-bound organelles, and aberrant localisation of peroxisomal proteins contributes to the pathogenesis of several disorders. Many computational methods focus on assigning protein sequences to subcellular compartments, but there are no specific tools tailored for the...

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Detalles Bibliográficos
Autores principales: Anteghini, Marco, Martins dos Santos, Vitor, Saccenti, Edoardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232616/
https://www.ncbi.nlm.nih.gov/pubmed/34203866
http://dx.doi.org/10.3390/ijms22126409

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232616/
https://www.ncbi.nlm.nih.gov/pubmed/34203866
http://dx.doi.org/10.3390/ijms22126409

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