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PXD033763

PXD033763 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleAtomic-Resolution Prediction of Degrader-mediated Ternary Complex Structures by Combining Molecular Simulations with Hydrogen Deuterium Exchange
DescriptionTargeted protein degradation (TPD) has emerged as a powerful approach for removing (rather than inhibiting) proteins implicated in diseases. A key step in TPD is the formation of an induced proximity complex where a degrader molecule recruits an E3 ligase to the protein of interest (POI), facilitating the transfer of ubiquitin to the POI and initiating the proteasomal degradation process. Here, we address three critical aspects of the TPD process using atomistic simulations: 1) formation of the ternary complex induced by a degrader molecule, 2) conformational heterogeneity of the ternary complex, and 3) degradation efficiency via the full Cullin Ring Ligase (CRL) macromolecular assembly. We combine experimental biophysical data---in this case hydrogen-deuterium exchange mass spectrometry (HDX-MS, which measures the solvent exposure of protein residues)---with molecular dynamics (MD) simulations aided by enhanced sampling techniques to accurately predict ternary complex structures at atomic resolution. We demonstrate improved efficiency, accuracy, and reliability in the ternary structure predictions of the bromodomain of the cancer target SMARCA2 with the E3 ligase VHL mediated by three different degrader molecules. The simulations accurately reproduce X-ray crystal structures -- including a new structure that we determined in this work (PDB ID: 7S4E) -- with root mean square deviations (RMSD) of 1.1 to 1.6 \r{A}. The simulations also reveal a structural ensemble of low-energy conformations of the ternary complex. Snapshots from these simulations are used as seeds for additional simulations, where we perform 7.1 milliseconds of aggregate simulation time using Folding@home. The detailed free energy surface captures the crystal structure conformation within a low-energy basin and is consistent with solution-phase experimental data (HDX-MS and SAXS). Finally, we graft a structural ensemble of the ternary complexes onto the full CRL and perform enhanced sampling simulations, which suggest that differences in degradation efficiency may be related to the proximity distribution of lysine residues on the POI relative to the E2-loaded ubiquitin. Several of the predicted ubiquitinated lysine residues have been validated through a ubiquitin mapping proteomics experiment. DOI 10.1038/s41467-022-33575-4
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:56:25.020.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterJagat Adhikari
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListubiquitination signature dipeptidyl lysine; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentQ Exactive Plus
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-05-08 04:15:10ID requested
12022-10-01 09:46:36announced
22023-11-14 08:56:25announced2023-11-14: Updated project metadata.
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: LC-MSMS, degrader prediction,HeLa Cells, Ubiquitination mapping
Contact List
Jesus Izaguirre
contact affiliationRoivant sciences, Discovery Platform, Advanced simulations, New York City, NY
contact emailjesus.izaguirre@roivant.com
lab head
Jagat Adhikari
contact affiliationRoivant Sciences
contact emailjagat.adhikari@roivant.com
dataset submitter
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Dataset FTP location
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