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BioinformaticsBioinformaticsPeer-reviewed journal article

Predicting the subcellular location of prokaryotic proteins with DeepLocPro

Jaime MorenoiD, Henrik NielseniD, Ole WintheriD, Felix TeufeliD

PDFDOIPreprint

Abstract

Protein subcellular location prediction is a widely explored task in bioinformatics because of its importance in proteomics research. We propose DeepLocPro, an extension to the popular method DeepLoc, tailored specifically to archaeal and bacterial organisms. DeepLocPro is a multiclass subcellular location prediction tool for prokaryotic proteins, trained on experimentally verified data curated from UniProt and PSORTdb. DeepLocPro compares favorably to the PSORTb 3.0 ensemble method, surpassing its performance across multiple metrics on our benchmark experiment. The DeepLocPro prediction tool is available online at https://ku.biolib.com/deeplocpro and https://services.healthtech.dtu.dk/services/DeepLocPro-1.0/.

Citations
76
FWCI
10.32
Field percentile
top 1%

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