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PXD063107
PXD063107 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | PISA Assay of B1 antibiotic on Neisseria gonorrhoeae |
| Description | Study on antibiotic B1 and for target identification and mode of action characterization on Neisseria gonorrhoeae Strain, using Proteome Integral Solubility Alteration (PISA) Assay |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-01-19 |
| AnnouncementXML | Submission_2026-01-18_16:57:29.317.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Massimiliano Gaetani |
| SpeciesList | scientific name: Neisseria gonorrhoeae; NCBI TaxID: NEWT:485; |
| ModificationList | monohydroxylated residue; deamidated residue; iodoacetamide derivatized residue |
| Instrument | Orbitrap Exploris 480 |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-04-18 06:56:56 | ID requested | |
| ⏵ 1 | 2026-01-18 16:57:30 | announced |
Publication List
| 10.1016/j.cell.2025.07.033; |
| Krishnan A, Anahtar MN, Valeri JA, Jin W, Donghia NM, Sieben L, Luttens A, Zhang Y, Modaresi SM, Hennes A, Fromer J, Bandyopadhyay P, Chen JC, Rehman D, Desai R, Edwards P, Lach RS, Aschtgen MS, Gaborieau M, Gaetani M, Palace SG, Omori S, Khonde L, Moroz YS, Blough B, Jin C, Loh E, Grad YH, Saei AA, Coley CW, Wong F, Collins JJ, A generative deep learning approach to de novo antibiotic design. Cell, 188(21):5962-5979.e22(2025) [pubmed] |
Keyword List
| submitter keyword: proteomics, LC-MS, mode of action, antibiotic,target ID, bacteria, PISA assay |
Contact List
| Massimiliano Gaetani | |
|---|---|
| contact affiliation | Chemical Proteomics, Division of Chemistry I, MBB Dept., Biomedicum, Karolinska Insitute, Stockholm, Sweden |
| contact email | massimiliano.gaetani@ki.se |
| lab head | |
| Massimiliano Gaetani | |
| contact affiliation | Karolinska Institutet |
| contact email | massimiliano.gaetani@ki.se |
| 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/2026/01/PXD063107 |
| PRIDE project URI |
Repository Record List
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