Sign in

Abstract

The application of targeted protein degradation (TPD) is currently constrained by the limited availability of low-molecular-weight molecules that can recruit E3 ligases other than CRBN (Cereblon) or VHL (Von Hippel-Lindau ligase). In this study, we present the structure-based drug design (SBDD) of high-affinity ligands that engage E3 ligase GID4 (Glucose-induced degradation protein 4) in biophysical and cellular experiments. Through structural studies and molecular modeling, we identified three clusters of compounds that induce distinct conformations of GID4. We characterized potential exit vectors and used the most promising ligand as a building block to prepare bifunctional degraders in the form of proteolysis-targeting chimeras (PROTACs). Although ternary complex formation was successful in vitro, degradation of BRD4 was not observed, highlighting the need for further optimization of the degraders. Finally, we theoretically investigated the likelihood of the identified GID4 conformations participating in protein-protein interactions mediated by molecular glue mechanisms. We believe the expanded ligand diversity discovered in this study may pave the way for tuning the selectivity and efficacy of interactions involving GID4 and its neosubstrates. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=61 SRC="FIGDIR/small/662521v3_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@19187e8org.highwire.dtl.DTLVardef@171abd1org.highwire.dtl.DTLVardef@1c75a5forg.highwire.dtl.DTLVardef@fe17fc_HPS_FORMAT_FIGEXP M_FIG C_FIG

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
0
FWCI
0.00
Field percentile
17th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISYazdi '23Hsia '23Owens '24Hanzl '23Zheng '25Chrustowicz '21
72% semantic matchBiophysics
A. K. Yazdi, S. Perveen, X. Song+22 more·bioRxiv·Nov 13, 2023