ArticleNucleic acids research2024
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models.
Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers.
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143 citing papers in PubMed.
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- Predicting membrane protein localization by deep learning on structure and chemistry.Protein science : a publication of the Protein Society · 2026Article
- Molecular and cellular insights into the parasitic infection of bloom-forming marine diatoms by Pirsonia diadema.Nature microbiology · 2026Article
- Genome-Wide Analysis ofInternational journal of molecular sciences · 2026Article
- A shared injury-homeostasis gradient in the human CSF proteome across neurological disease.Research square · 2026Article
- Identification of a membrane transporter for dimethylsulfoniopropionate uptake in marine eukaryotic phytoplankton.Nature communications · 2026Article
- Genome-Wide Identification and Expression Profiling of the Oxidosqualene Cyclase Gene Family inCurrent issues in molecular biology · 2026Article
83 more citing papers are in PubMed but not listed here.
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7 authors.
Funding
Abstract
DeepLoc 2.0 is a popular web server for the prediction of protein subcellular localization and sorting signals. Here, we introduce DeepLoc 2.1, which additionally classifies the input proteins into the membrane protein types Transmembrane, Peripheral, Lipid-anchored and Soluble. Leveraging pre-trained transformer-based protein language models, the server utilizes a three-stage architecture for sequence-based, multi-label predictions. Comparative evaluations with other established tools on a test set of 4933 eukaryotic protein sequences, constructed following stringent homology partitioning, demonstrate state-of-the-art performance. Notably, DeepLoc 2.1 outperforms existing models, with the larger ProtT5 model exhibiting a marginal advantage over the ESM-1B model. The web server is available at https://services.healthtech.dtu.dk/services/DeepLoc-2.1.
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