A new generation of heterobifunctional small molecules, termed proteolysis targeting chimeras (PROTACs), targets proteins for degradation through recruitment to E3 ligases and holds significant therapeutic potential. Despite numerous successful examples, PROTAC small molecule development remains laborious and unpredictable, involving testing compounds for end-point degradation activity at fixed times and concentrations without resolving or optimizing for the important biological steps required for the process. Given the complexity of the ubiquitin proteasomal pathway, technologies that enable real-time characterization of PROTAC efficacy and mechanism of action are critical for accelerating compound development, profiling, and improving guidance of chemical structure-activity relationship. Here, we present an innovative, modular live-cell platform utilizing endogenous tagging technologies and apply it to monitoring PROTAC-mediated degradation of the bromodomain and extra-terminal family members. We show comprehensive real-time degradation and recovery profiles for each target, precisely quantifying degradation rates, maximal levels of degradation ( D), and time frame at D. These degradation metrics show specific PROTAC and family member-dependent responses that are closely associated with the key cellular protein interactions required for the process. Kinetic studies show cellular ternary complex stability influences potency and degradation efficacy. Meanwhile, the level of ubiquitination is highly correlated to degradation rate, indicating ubiquitination stemming from productive ternary complex formation is the main driver of the degradation rate. The approaches applied here highlight the steps at which the choice of E3 ligase handle can elicit different outcomes and discern individual parameters required for degradation, ultimately enabling chemical design strategies and rank ordering of potential therapeutic compounds.

SummaryFor kinase inhibitors, intracellular target selectivity is fundamental to pharmacological mechanism. Although a number of acellular techniques have been developed to measure kinase binding or enzymatic inhibition, such approaches can fail to accurately predict engagement in cells. Here we report the application of an energy transfer technique that enabled the first broad-spectrum, equilibrium-based approach to quantitatively profile target occupancy and compound affinity in live cells. Using this method, we performed a selectivity profiling for clinically relevant kinase inhibitors against 178 full-length kinases, and a mechanistic interrogation of the potency offsets observed between cellular and biochemical analysis. For the multikinase inhibitor crizotinib, our approach accurately predicted cellular potency and revealed improved target selectivity compared with biochemical measurements. Due to cellular ATP, a number of putative crizotinib targets are unexpectedly disengaged in live cells at a clinically relevant drug dose.

Doublecortin like kinase 1 (DCLK1) is an understudied kinase that is upregulated in a wide range of cancers, including pancreatic ductal adenocarcinoma (PDAC). However, little is known about its potential as a therapeutic target. We leveraged chemoproteomic profiling and structure-based design to develop the first selective, in vivo -compatible chemical probe of the DCLK1 kinase domain, DCLK1-IN-1. We demonstrate activity of DCLK1-IN-1 against clinically relevant patient-derived PDAC organoid models and use a combination of RNA sequencing, proteomics and phosphoproteomics analysis to reveal that DCLK1 inhibition modulates proteins and pathways associated with cell motility in this context. DCLK1-IN-1 will serve as a versatile tool to investigate DCLK1 biology and establish its role in cancer.

Target residence time is emerging as an important optimization parameter in drug discovery, yet target and off-target engagement dynamics have not been clearly linked to the clinical performance of drugs. Here we developed high-throughput binding kinetics assays to characterize the interactions of 270 protein kinase inhibitors with 40 clinically relevant targets. Analysis of the results revealed that on-rates are better correlated with affinity than off-rates and that the fraction of slowly dissociating drug–target complexes increases from early/preclinical to late stage and FDA-approved compounds, suggesting distinct contributions by each parameter to clinical success. Combining binding parameters with PK/ADME properties, we illustrate in silico and in cells how kinetic selectivity could be exploited as an optimization strategy. Furthermore, using bio- and chemoinformatics we uncovered structural features influencing rate constants. Our results underscore the value of binding kinetics information in rational drug design and provide a resource for future studies on this subject.

Concerted multidisciplinary efforts have led to the development of Cyclin-Dependent Kinase inhibitors (CDKi's) as small molecule drugs and chemical probes of intracellular CDK function. However, conflicting data has been reported on the inhibitory potency of CDKi's and a systematic characterization of affinity and selectivity against intracellular CDKs is lacking. We have developed a panel of cell-permeable energy transfer probes to quantify target occupancy for all 21 human CDKs in live cells, and present a comprehensive evaluation of intracellular isozyme potency and selectivity for a collection of 46 clinically-advanced CDKi's and tool molecules. We observed unexpected intracellular activity profiles for a number of CDKi's, offering avenues for repurposing of highly potent molecules as probes for previously unreported targets. Overall, we provide a broadly applicable method for evaluating the selectivity of CDK inhibitors in living cells, and present a refined set of tool molecules to study CDK function.