PXD019987 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | MULocDeep: An Interpretable Deep Learning Model for Protein Localization Prediction with Sub-organelle Resolution |
Description | Prediction of protein localization plays an important role in understanding protein function and mechanism. A deep learning-based localization prediction tool (“MULocDeep”) assessing each amino acid’s contribution to the localization process provides insights into the mechanism of protein sorting and localization motifs. A dataset with 45 sub-organellar localization annotations under 10 major sub-cellular compartments was produced and the tool was tested on an independent dataset of mitochondrial proteins that were extracted from Arabidopsis thaliana cell cultures, Solanum tuberosum tubers, and Vicia faba roots, and analyzed by shotgun mass spectrometry. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_05:32:03.150.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Holger Eubel |
SpeciesList | scientific name: Arabidopsis thaliana (Mouse-ear cress); NCBI TaxID: 3702; scientific name: Solanum tuberosum (Potato); NCBI TaxID: 4113; scientific name: Vicia faba var. faba; NCBI TaxID: 1706215; |
ModificationList | monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue; deamidated residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2020-06-24 04:52:05 | ID requested | |
1 | 2022-02-15 13:14:27 | announced | |
⏵ 2 | 2024-10-22 05:32:04 | announced | 2024-10-22: Updated project metadata. |
Publication List
10.1016/j.csbj.2021.08.027; |
Jiang Y, Wang D, Yao Y, Eubel H, K, ü, nzler P, M, ø, ller IM, Xu D, MULocDeep: A deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation. Comput Struct Biotechnol J, 19():4825-4839(2021) [pubmed] |
Keyword List
submitter keyword: protein localization prediction, shotgun proteomics,Protein targeting, plant mitochondria isolation, deep learning |
Contact List
Holger Eubel |
contact affiliation | Leibniz Universität Hannover Institute of Plant Genetics |
contact email | heubel@genetik.uni-hannover.de |
lab head | |
Holger Eubel |
contact affiliation | Leibniz Universtät Hannover |
contact email | heubel@genetik.uni-hannover.de |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD019987
- Label: PRIDE project
- Name: MULocDeep: An Interpretable Deep Learning Model for Protein Localization Prediction with Sub-organelle Resolution