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PXD019987

PXD019987 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMULocDeep: An Interpretable Deep Learning Model for Protein Localization Prediction with Sub-organelle Resolution
DescriptionPrediction 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.
HostingRepositoryPRIDE
AnnounceDate2024-10-22
AnnouncementXMLSubmission_2024-10-22_05:32:03.150.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterHolger 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;
ModificationListmonohydroxylated residue; acetylated residue; iodoacetamide derivatized residue; deamidated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-06-24 04:52:05ID requested
12022-02-15 13:14:27announced
22024-10-22 05:32:04announced2024-10-22: 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 affiliationLeibniz Universität Hannover Institute of Plant Genetics
contact emailheubel@genetik.uni-hannover.de
lab head
Holger Eubel
contact affiliationLeibniz Universtät Hannover
contact emailheubel@genetik.uni-hannover.de
dataset submitter
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Dataset FTP location
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PRIDE project URI
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