PXD073666 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Artificial allosteric protein switches with machine learning-designed receptors |
| Description | Protein allostery underlies most information and energy processing in biology, and the development of artificial allosteric proteins is a key objective of synthetic biology and biotechnology. Our results show that minimalistic ligand-binding domains, engineered by machine learning and lacking ligand-induced global conformational changes, act as efficient synthetic receptors of single-component allosteric protein switches. Such colorimetric, luminescent, and electrochemical biosensors of small molecules, peptides, and proteins can be complied into intramolecular YES and AND logic gates. Furthermore, we report fully synthetic allosteric switches composed of artificial receptor and reporter domains. The results of biophysical experiments including HDX-MS and 19F NMR analysis suggest that ligand-binding reduces conformation entropy of the system increasing catalytic activity of the reporter domain. The practical utility of this approach is demonstrated by engineering E. coli cells with steroid-dependent antibiotic resistance and developing bioelectronic devices capable of quantifying steroid hormones. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-04-29 |
| AnnouncementXML | Submission_2026-04-29_07:01:01.675.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Jonathan Phillips |
| SpeciesList | scientific name: Escherichia coli; NCBI TaxID: NEWT:562; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Synapt MS |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|
| 0 | 2026-01-27 14:32:50 | ID requested | |
| ⏵ 1 | 2026-04-29 07:01:02 | announced | |
Publication List
Keyword List
| submitter keyword: HDX-MS |
Contact List
| Jonathan James Phillips |
|---|
| contact affiliation | Living Systems Institute, University of Exeter, UK |
| contact email | jj.phillips@exeter.ac.uk |
| lab head | |
| Jonathan Phillips |
|---|
| contact affiliation | Living Systems Institute, University of Exeter |
| contact email | jj.phillips@exeter.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/2026/04/PXD073666 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD073666
- Label: PRIDE project
- Name: Artificial allosteric protein switches with machine learning-designed receptors
