Predicting the subcellular location of prokaryotic proteins with DeepLocPro

Authors

Henrik Nielsen (ORCID: https://orcid.org/0000-0002-9412-9643)
Felix Teufel (ORCID: https://orcid.org/0000-0003-1275-8065)
Ole Winther (ORCID: https://orcid.org/0000-0002-1966-3205)
Jaime Moreno (ORCID: https://orcid.org/0009-0006-6173-8879)

Institutions

University of Copenhagen (DK)
Novo Nordisk (Denmark) (DK)
University College Copenhagen (DK)
Novo Nordisk (United States) (US)
IT University of Copenhagen (DK)
Technical University of Denmark (DK)

Publication Details

Journal: Bioinformatics
Published: 2024-11-12
DOI: https://doi.org/10.1093/bioinformatics/btae677
Citations: 41
Primary Topic: Machine Learning in Bioinformatics
Type: article
Field-Weighted Citation Impact: 9.59

Funders

Danmarks Grundforskningsfond
Novo Nordisk
Novo Nordisk Fonden

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article

Predicting the subcellular location of prokaryotic proteins with DeepLocPro

Henrik Nielsen, Felix Teufel, Ole Winther, Jaime Moreno

Nov 12, 2024

41 citations

Bioinformatics

Machine Learning in Bioinformatics

9.59

article

Predicting the subcellular location of prokaryotic proteins with DeepLocPro

Henrik Nielsen, Felix Teufel, Ole Winther, Jaime Moreno

November 12, 2024article en

41 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(12)

University of Copenhagen (DK), Novo Nordisk (Denmark) (DK), University College Copenhagen (DK), Novo Nordisk (United States) (US), IT University of Copenhagen (DK), Technical University of Denmark (DK)

Danmarks Grundforskningsfond, Novo Nordisk, Novo Nordisk Fonden

Openalex Percentile: Top 1%

Machine Learning in Bioinformatics

9.59

DOI Open Access PDF OpenAlex

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