dc.contributor.author | Özsarı, Gökhan | |
dc.contributor.author | Rifaioğlu, Ahmet Süreyya | |
dc.contributor.author | Atakan, Ahmet | |
dc.contributor.author | Tunca, Doğan | |
dc.contributor.author | Martin, Maria Jesus | |
dc.contributor.author | Atalay, Rengül Çetin | |
dc.contributor.author | Atalay, Volkan | |
dc.date.accessioned | 2022-11-18T07:33:16Z | |
dc.date.available | 2022-11-18T07:33:16Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.citation | Özsarı, G., Rifaioglu, A. S., Atakan, A., Doğan, T., Martin, M. J., Çetin Atalay, R., & Atalay, V. (2022). SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins. Bioinformatics (Oxford, England), 38(17), 4226–4229.
https://doi.org/10.1093/bioinformatics/btac458 | en_US |
dc.identifier.issn | 1367-4803 | |
dc.identifier.uri | https://doi.org/10.1093/bioinformatics/btac458 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/2280 | |
dc.description.abstract | Accurate prediction of the subcellular locations (SLs) of proteins is a critical topic in protein science. In this study, we present SLPred, an ensemble-based multi-view and multi-label protein subcellular localization prediction tool. For a query protein sequence, SLPred provides predictions for nine main SLs using independent machine-learning models trained for each location. We used UniProtKB/Swiss-Prot human protein entries and their curated SL annotations as our source data. We connected all disjoint terms in the UniProt SL hierarchy based on the corresponding term relationships in the cellular component category of Gene Ontology and constructed a training dataset that is both reliable and large scale using the re-organized hierarchy. We tested SLPred on multiple benchmarking datasets including our-in house sets and compared its performance against six state-of-the-art methods. Results indicated that SLPred outperforms other tools in the majority of cases. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Oxford University Press | en_US |
dc.relation.isversionof | 10.1093/bioinformatics/btac458 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject.classification | Biochemistry & Molecular Biology | |
dc.subject.classification | Biotechnology & Applied Microbiology | |
dc.subject.classification | Computer Science | |
dc.subject.classification | Mathematical & Computational Biology | |
dc.subject.classification | Mathematics | |
dc.subject.classification | Mathematics | |
dc.subject.classification | Chemistry - Protein Stucture, Folding & Modelling - Protein Folding | |
dc.subject.other | Amino acid sequence | |
dc.subject.other | Computational biology | |
dc.subject.other | Databases | |
dc.subject.other | Protein | |
dc.subject.other | Gene ontology | |
dc.subject.other | Humans | |
dc.subject.other | Protein transport | |
dc.subject.other | Proteins | |
dc.title | SLPred: a multi-view subcellular localization prediction tool for multi-location human proteins | en_US |
dc.type | article | en_US |
dc.relation.journal | Bioinformatics | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 38 | en_US |
dc.identifier.issue | 17 | en_US |
dc.identifier.startpage | 4226 | en_US |
dc.identifier.endpage | 4229 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Rifaioğlu, Ahmet Süreyya | |
dc.relation.index | Web of Science - Scopus - PubMed | en_US |
dc.relation.index | Web of Science Core Collection - Science Citation Index Expanded | |