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PXD019591

PXD019591 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMachine learning from large-scale proteomics accurately ranks anti-cancer drugs based on efficacy
DescriptionWe present an approach, named Drug Ranking Using ML (DRUML), which uses omics data to produce ordered lists of > 400 drugs based on their effectiveness in decreasing cancer cell proliferation. We trained and validated DRUML using in-house proteomics and phosphoproteomics data from a panel of 26 AML, 10 esophageal and 12 hepatocellular carcinoma cell lines in triplicate (three independent cultures per cell line) by LC-MS/MS
HostingRepositoryPRIDE
AnnounceDate2021-02-22
AnnouncementXMLSubmission_2021-02-22_06:22:16.329.xml
DigitalObjectIdentifierhttp://dx.doi.org/10.6019/PXD019591
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterMaruan Hijazi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListPhospho; Oxidation; Carbamidomethyl; Gln->pyro-Glu
InstrumentQ Exactive Plus
Dataset History
RevisionDatetimeStatusChangeLog Entry
02020-06-04 07:17:54ID requested
12021-02-22 06:22:16announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: machine learning, phosphoproteomics, proteomics, drug efficacy prediction, DRUML, drug ranking, cancer
Contact List
Pedro Cutillas
contact affiliationBarts Cancer Institute. Queen Mary University of London
contact emailp.cutillas@qmul.ac.uk
lab head
Maruan Hijazi
contact affiliationBARTS CANCER INSTITUTE. QUEEN MARY UNIVERSITY OF LONDON
contact emailm.hijazivega@qmul.ac.uk
dataset submitter
Full Dataset Link List
Dataset FTP location
PRIDE project URI
Repository Record List
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