Biology subjects

Kerr, C.

Publications and source records attributed to Kerr, C..

4 recordsLinked to original sources

bioRxiv2023

Application of an NMR/crystallography fragment screening platform for the assessment and rapid discovery of new HIV-CA binding fragments

Identification and assessment of novel targets is essential to combat drug resistance in the treatment of HIV/AIDS. HIV Capsid (HIV-CA), the protein playing a major role in both the early and late stages of the viral life cycle, has emerged as an important target. We have applied an NMR fragment screening platform and identified molecules that bind to the N-terminal domain (NTD) of HIV-CA at a site close to the interface with the C-terminal domain (CTD). Using X-ray crystallography, we have been able to obtain crystal structures to identify the binding mode of these compounds. This allowed for rapid progression of the initial, weak binding, fragment starting points to compounds 37 and 38, which have 19F-pK values of 5.3 and 5.4 respectively. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=56 SRC="FIGDIR/small/569544v2_ufig1.gif" ALT="Figure 1"> View larger version (6K): org.highwire.dtl.DTLVardef@1c7043corg.highwire.dtl.DTLVardef@e73044org.highwire.dtl.DTLVardef@11c1d9org.highwire.dtl.DTLVardef@1cd99e7_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2023

The Quest to Identify USP8 Inhibitors for Parkinsons Disease, a PAINful Experience.

Pan Assay INterference compoundS (PAINS) are known to be a source of false positives in High Throughput Screening (HTS) campaigns. This has become a major problem in medicinal chemistry, often resulting in undesirable project outcomes and increased overall cost. Our recent campaign to identify inhibitors of USP8 that could be used in the treatment of Parkinsons disease identified several PAINS that worked via a variety of mechanisms. Herein, we discuss the process developed to identify not only the PAINS but also confirming the interference mechanism causing their activity. We found in this project that our USP8 assay was susceptible to multiple modes of interference, making it difficult to identify genuine hit molecules. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/556294v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@b917a6org.highwire.dtl.DTLVardef@1bfac47org.highwire.dtl.DTLVardef@c78e1dorg.highwire.dtl.DTLVardef@1434fdd_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2022

Human Cardiac Organoids to Model COVID-19 Cytokine Storm Induced Cardiac Injuries

Acute cardiac injuries occur in 20-25% of hospitalized COVID-19 patients. Despite urgent needs, there is a lack of 3D organotypic models of COVID-19 hearts for mechanistic studies and drug testing. Herein, we demonstrate that human cardiac organoids (hCOs) are a viable platform to model the cardiac injuries caused by COVID-19 hyperinflammation. As IL-1{beta}is an upstream cytokine and a core COVID-19 signature cytokine, it was used to stimulate hCOs to induce the release of a milieu of proinflammatory cytokines that mirror the profile of COVID-19 cytokine storm. The IL-1 {beta} treated hCOs recapitulated transcriptomic, structural, and functional signatures of COVID-19 hearts. The comparison of IL-1{beta} treated hCOs with cardiac tissue from COVID-19 autopsies illustrated the critical roles of hyper-inflammation in COVID-19 cardiac insults and indicated the cardioprotective effects of endothelium. The IL-1{beta} treated hCOs also provide a viable model to assess the efficacy and potential side effects of immunomodulatory drugs, as well as the reversibility of COVID-19 cardiac injuries at baseline and simulated exercise conditions.

bioengineering↗

bioRxiv2019

Profiling the E. coli Membrane Interactome Captured in Peptidisc Libraries

Protein-correlation-profiling (PCP), in combination with quantitative proteomics, has emerged as a high-throughput method for the rapid identification of dynamic protein complexes in native conditions. While PCP has been successfully applied to soluble proteomes, characterization of the membrane interactome has lagged, partly due to the necessary use of detergents to maintain protein solubility. Here, we apply the peptidisc, a one-size fits all membrane mimetic, for the capture of the Escherichia coli cell envelope proteome and its high-resolution fractionation in the absence of detergent. Analysis of the SILAC-labeled peptidisc library via PCP allows generation of over 4900 possible binary interactions out of >700,000 random associations. Using well-characterized membrane protein systems such as the SecY translocon, the Bam complex and the MetNI transporter, we find our dataset very useful for identifying transient and surprisingly novel protein interactions. For example, we discover a trans-periplasmic super-complex comprising subunits of the Bam and Sec translocons, including membrane-bound chaperones YfgM and PpiD. We identify RcsF and OmpA as bone fide interactors of BamA, and we show that interaction of MetQ with the ABC transporter MetNI depends on its N-terminal lipid anchor. We also discover NlpA as a novel interactor of MetNIQ. Most of these interactions are largely undetected by standard detergent-based purification. Together, the peptidisc workflow applied to the proteomic field is emerging as a promising novel approach to characterize membrane protein interactions under native expression conditions and without genetic manipulation.

biochemistry↗