PXD019591

PXD019591 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Machine learning from large-scale proteomics accurately ranks anti-cancer drugs based on efficacy
Description	We 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
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:19:14.442.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD019591
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Maruan Hijazi
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	Phospho; Oxidation; Carbamidomethyl; Gln->pyro-Glu
Instrument	Q Exactive Plus

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2020-06-04 07:17:54	ID requested
1	2021-02-22 06:22:16	announced
2	2021-04-22 22:40:00	announced	2021-04-23: Updated publication reference for PubMed record(s): 33767176.
⏵ 3	2024-10-22 05:19:15	announced	2024-10-22: Updated project metadata.

Publication List

10.1038/s41467-021-22170-8;
10.6019/PXD019591;
Gerdes H, Casado P, Dokal A, Hijazi M, Akhtar N, Osuntola R, Rajeeve V, Fitzgibbon J, Travers J, Britton D, Khorsandi S, Cutillas PR, Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs. Nat Commun, 12(1):1850(2021) [pubmed]

10.1038/s41467-021-22170-8;

10.6019/PXD019591;

Gerdes H, Casado P, Dokal A, Hijazi M, Akhtar N, Osuntola R, Rajeeve V, Fitzgibbon J, Travers J, Britton D, Khorsandi S, Cutillas PR, Drug ranking using machine learning systematically predicts the efficacy of anti-cancer drugs. Nat Commun, 12(1):1850(2021) [pubmed]

Keyword List

submitter keyword: cancer, proteomics, drug efficacy prediction, DRUML,machine learning, phosphoproteomics, drug ranking

submitter keyword: cancer, proteomics, drug efficacy prediction, DRUML,machine learning, phosphoproteomics, drug ranking

Contact List

Pedro Cutillas
contact affiliation	Barts Cancer Institute. Queen Mary University of London
contact email	p.cutillas@qmul.ac.uk
lab head
Maruan Hijazi
contact affiliation	University of Salamanca
contact email	m.hijazivega@qmul.ac.uk
dataset submitter

Full Dataset Link List

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2021/02/PXD019591
PRIDE project URI

Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2021/02/PXD019591

PRIDE project URI

Repository Record List

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