PXD010521
PXD010521 is an original dataset announced via ProteomeXchange.
Dataset Summary
Title | Angelica keiskei |
Description | Second-stage molecular networks for the botanical Angelica keiskei. The project aimed to identify bioactive constituents and predict their chemical class using a combination of molecular networking and bioinformatics approaches. Paper can be found here: https://www.researchgate.net/publication/323981257_Integration_of_Biochemometrics_and_Molecular_Networking_to_Identify_Antimicrobials_in_Angelica_keiskei |
HostingRepository | MassIVE |
AnnounceDate | 2018-07-20 |
AnnouncementXML | Submission_2018-07-20_07:48:07.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Lindsay Caesar |
SpeciesList | scientific name: Angelica keiskei; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ Orbitrap |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2018-07-20 07:33:38 | ID requested | |
⏵ 1 | 2018-07-20 07:48:08 | announced |
Publication List
Caesar LK, Kellogg JJ, Kvalheim OM, Cech RA, Cech NB. Integration of Biochemometrics and Molecular Networking to Identify Antimicrobials in Angelica keiskei. Planta Med. 2018 Jul;84(9-10):721-728. doi: 10.1055/a-0590-5223. |
Keyword List
submitter keyword: chalcones, antimicrobial |
Contact List
Nadja Cech | |
---|---|
contact affiliation | University of North Carolina at Greensboro |
contact email | nbcech@uncg.edu |
lab head | |
Lindsay Caesar | |
contact affiliation | University of North Carolina Greensboro |
contact email | lkcaesar@uncg.edu |
dataset submitter |
Full Dataset Link List
MassIVE dataset 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://massive.ucsd.edu/MSV000082641 |