PXD010595

PXD010595 is an original dataset announced via ProteomeXchange.

Title	ProteomeTools – Part II - Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Description	"The ProteomeTools project aims to derive molecular and digital tools from the human proteome to facilitate biomedical and life science research. Here, we describe the second iteration of the generation and multimodal LC-MS/MS analysis of >220,000 synthetic tryptic peptides representing nearly all canonical human gene products. This resource will be extended to 1.4 million peptides and all data will be made available to the public in ProteomicsDB."
HostingRepository	PRIDE
AnnounceDate	2023-05-14
AnnouncementXML	Submission_2023-05-14_14:54:10.984.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	DanielZolg
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion ETD

Revision	Datetime	Status	ChangeLog Entry
0	2018-07-27 03:50:57	ID requested
1	2019-05-21 04:27:01	announced
2	2019-05-28 01:25:06	announced	Updated project metadata.
3	2019-05-28 01:27:21	announced	Updated project metadata.
4	2019-05-29 04:02:57	announced	Updated project metadata.
⏵ 5	2023-05-14 14:54:12	announced	2023-05-14: Updated project metadata.

Gessulat S, Schmidt T, Zolg DP, Samaras P, Schnatbaum K, Zerweck J, Knaute T, Rechenberger J, Delanghe B, Huhmer A, Reimer U, Ehrlich HC, Aiche S, Kuster B, Wilhelm M, Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nat Methods, 16(6):509-518(2019) [pubmed]

ProteomeXchange project tag: Deep learning, Immunopeptidomics, EPIC-XS, Machine learning, Benchmarking, Proteometools, Retention time

curator keyword: Technical

submitter keyword: Proteome Tools", Fusion Lumos,"Synthetic peptides, ProteomeTools, peptide standards

BernhardKuster
contact affiliation	"Chair of Proteomics and Bioanalytics, Technical University of Munich, Germany"
contact email	kuster@tum.de
lab head
DanielZolg
contact affiliation	Technical University of Munich
contact email	daniel.zolg@tum.de
dataset submitter

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/2019/05/PXD010595

PRIDE project URI

• PRIDE
  1. PXD010595
     1. Label: PRIDE project
     2. Name: ProteomeTools – Part II - Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning