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Montgomery, J. I.

Publications and source records attributed to Montgomery, J. I..

3 recordsLinked to original sources

A Novel Method for Normalizing Data from DNA-Encoded Library Selections

DNA-encoded library screening represents a significant advancement in the field of drug discovery. Its ability to rapidly and cost-effectively identify potential drug candidates from large compound libraries has the potential to revolutionize the way new medicines are discovered and developed. While the strategies for DEL screening and data analysis have improved over the years, data normalization remains an open challenge. Existing normalization methods can yield poor correlation for compounds with high read count, and they do not account for inherent sources of noise. To overcome these drawbacks, we have developed a robust normalization technique using an antibody fragment and a DNA-conjugated peptide as an internal control. This innovative approach allows for normalization between samples of different conditions and accounts for technical challenges that occur during screening. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/700605v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1b04b91org.highwire.dtl.DTLVardef@1312295org.highwire.dtl.DTLVardef@d59713org.highwire.dtl.DTLVardef@b1786a_HPS_FORMAT_FIGEXP M_FIG C_FIG SynopsisNormalization of DNA-encoded library selection data reduces bias and noise, enabling accurate identification of true binders and reliable enrichment analysis.

biochemistry↗

Chemical Tools for the Gid4 Subunit of the Human E3 Ligase C-terminal to LisH (CTLH) Degradation Complex

We have developed a novel chemical handle (PFI-E3H1) and a chemical probe (PFI-7) as ligands for the Gid4 subunit of the human E3 ligase CTLH degradation complex. Through an efficient initial hit-ID campaign, structure-based drug design (SBDD) and leveraging the sizeable Pfizer compound library, we identified a 500 nM ligand for this E3 ligase through file screening alone. Further exploration identified a vector that is tolerant to addition of a linker for future chimeric molecule design. The chemotype was subsequently optimized to sub-100 nM Gid4 binding affinity for a chemical probe. These novel tools, alongside the suitable negative control also identified, should enable the interrogation of this complex human E3 ligase macromolecular assembly.

biophysics↗

A chemical probe to modulate human GID4 Pro/N-degron interactions

The CTLH complex is a multi-subunit ubiquitin ligase complex that recognizes substrates with Pro/N-degrons via the substrate receptor GID4. Recently, focus has turned to this complex as a potential mediator of targeted protein degradation, but the role GID4-mediated substrate ubiquitylation and proteasomal degradation plays in humans has thus far remained unclear. Here, we report PFI-7, a potent, selective, and cell-active chemical probe that antagonizes Pro/N-degron binding to human GID4. Use of PFI-7 in proximity-dependent biotinylation enabled the identification of dozens of endogenous GID4-interacting proteins that bind via the GID4 substrate binding pocket, only a subset of which possess canonical Pro/N-degron sequences. GID4 interactors are enriched for nuclear and nucleolar proteins including RNA helicases. GID4 antagonism by PFI-7 altered protein levels of several proteins including RNA helicases as measured by label-free quantitative proteomics, defining proteins that are regulated by GID4 and the CTLH complex in humans. Interactions with GID4 via Pro/N-degron pathway did not result in proteasomal degradation, demonstrating that CTLH interactors are regulated through a combination of degradative and non-degradative functions. The lack of degradation of GID4 interactors highlights potential challenges in utilizing GID4-recruiting bifunctional molecules for targeted protein degradation. Going forward, PFI-7 will be a valuable research tool for defining CTLH complex biology and honing targeted protein degradation strategies.

molecular biology↗