Discovery and Structure-Based Design of Macrocyclic Peptides Targeting STUB1

STIP1 homology and U-Box containing protein 1 (STUB1) plays a key role in maintaining cell health during stress and aging. Recent evidence suggested STUB1 also helps regulate immunity with the potential of clearing malignant cells. Indeed, we and others have shown that STUB1 is a pivotal negative regulator of interferon gamma sensing – a process critical to the immunosurveillance of tumors and pathogens. Thus far, investigation of STUB1’s role relies mostly on genetic approaches as pharmacological inhibitors of this protein are lacking. Identification of a STUB1 tool compound is important as it would allow therapeutically relevant target validation in a broader sense. Accordingly, we leveraged phage display and computational modeling to identify and refine STUB1 binders. Screening of >10E9 macrocyclic peptides resulted in several conserved motifs as well as structurally diverse leads. Co-crystal structure of the peptide hit and STUB1 has enabled us to employ structure-based in silico design for further optimization. Of the modifications employed, replacing the hydrophilic solvent-exposed region of the macrocyclic peptides with a hydrophobic scaffold improved cellular permeability, while the binding conformation was maintained. Further substitution of the permeability-limiting terminal aspartic acid with a tetrazole bioisostere retained the binding to certain extent while improving permeability, suggesting a path forward. The current lead, although not optimal for cellular study, provides a valuable template for further development into selective tool compounds for STUB1 to enable target validation.

Aza-SAHA Derivatives are Selective Histone Deacetylase 10 Chemical Probes That Inhibit Polyamine Deacetylation

We report the first selective chemical probes for histone deacetylase 10 (HDAC10) with unprecedented selectivity over other HDAC isozymes. HDAC10 deacetylates polyamines and has a distinct substrate specificity, making it unique among the 11 zinc-dependent HDAC hydrolases. Taking inspiration from HDAC10 polyamine substrates, we systematically inserted an amino group (“aza-scan”) into the hexyl linker moiety of the approved drug Vorinostat (SAHA). This one atom replacement (C-->N) transformed SAHA from an unselective pan-HDAC inhibitor into a specific HDAC10 inhibitor. Optimization of the aza-SAHA structure yielded DKFZ-748, which has a double-digit nanomolar IC50 against HDAC10 in cells and >500-fold selectivity over the closest relative HDAC6 as well as the Class I enzymes (HDAC1, 2, 3, 8). Potency of our aza-SAHA derivatives is rationalized with HDAC10 co-crystal structures and demonstrated by cellular and biochemical target-engagement, as well as thermal-shift, assays. Treatment of cells with DKFZ-748, followed by quantification of selected polyamines, confirmed for the first time the suspected cellular function of HDAC10 as a poly-amine deacetylase. Selective HDAC10 chemical probes provide a valuable pharmacological tool for target validation and will enable further studies on the enigmatic biology of HDAC10 and acetylated polyamines. HDAC10-selective aza-SAHA derivatives are not cytotoxic, which opens the doors to novel therapeutic applications as immunomodulators or in combination cancer therapy.

Drug Target Validation of the Protein Kinase AEK1, Essential for Proliferation, Host Cell Invasion, and Intracellular Replication of the Human Pathogen Trypanosoma cruzi

Chagas disease affects 6 to 7 million people in the Americas, and its treatment has been limited to drugs with relatively high toxicity and low efficacy in the chronic phase of the infection. New validated targets are needed to combat this disease. In this work, we report the chemical and genetic validation of the protein kinase AEK1, which is essential for cytokinesis and infectivity, using a novel gene editing strategy.

Rapid target validation in a Cas9-inducible hiPSC derived kidney model

Recent advances in induced pluripotent stem cells (iPSCs), genome editing technologies and 3D organoid model systems highlight opportunities to develop new in vitro human disease models to serve drug discovery programs. An ideal disease model would accurately recapitulate the relevant disease phenotype and provide a scalable platform for drug and genetic screening studies. Kidney organoids offer a high cellular complexity that may provide greater insights than conventional single-cell type cell culture models. However, genetic manipulation of the kidney organoids requires prior generation of genetically modified clonal lines, which is a time and labor consuming procedure. Here, we present a methodology for direct differentiation of the CRISPR-targeted cell pools, using a doxycycline-inducible Cas9 expressing hiPSC line for high efficiency editing to eliminate the laborious clonal line generation steps. We demonstrate the versatile use of genetically engineered kidney organoids by targeting the autosomal dominant polycystic kidney disease (ADPKD) genes: PKD1 and PKD2. Direct differentiation of the respective knockout pool populations into kidney organoids resulted in the formation of cyst-like structures in the tubular compartment. Our findings demonstrated that we can achieve > 80% editing efficiency in the iPSC pool population which resulted in a reliable 3D organoid model of ADPKD. The described methodology may provide a platform for rapid target validation in the context of disease modeling.

Mendelian Randomization in Stroke: A Powerful Approach to Causal Inference and Drug Target Validation

Stroke is a leading cause of death and disability worldwide. However, our understanding of its underlying biology and the number of available treatment options remain limited. Mendelian randomization (MR) offers a powerful approach to identify novel biological pathways and therapeutic targets for this disease. Around ~100 MR studies have been conducted so far to explore, confirm, and quantify causal relationships between several exposures and risk of stroke. In this review, we summarize the current evidence arising from these studies, including those investigating ischemic stroke, hemorrhagic stroke, or both. We highlight the different types of exposures that are currently under study, ranging from well-known cardiovascular risk factors to less established inflammation-related mechanisms. Finally, we provide an overview of future avenues of research and novel approaches, including drug target validation MR, which is poised to have a substantial impact on drug development and drug repurposing.

Artificial Intelligence and Cancer Drug Development

Background: The development of cancer drugs is among the most focused “bench to bedside activities” to improve human health. Because of the amount of data publicly available to cancer research, drug development for cancers has significantly benefited from big data and AI. In the meantime, challenges, like curating the data of low quality, remain to be resolved. Objective: This review focused on the recent advancements in and challenges of AI in developing cancer drugs. Method: We discussed target validation, drug repositioning, de novo design, and compounds' synthetic strategies. Results and Conclusion: AI can be applied to all stages during drug development, and some excellent reviews detailing the applications of AI in specific stages are available.

AD Informer Set: Chemical tools to facilitate Alzheimer's disease drug discovery

Introduction: The portfolio of novel targets to treat Alzheimer's disease (AD) has been enriched by the AMP-AD program. Methods: A cheminformatics-driven effort enabled identification of existing small molecule modulators for many protein targets nominated by AMP-AD and suitable positive control compounds to be included in the set. Results: We have built an annotated set of 171 small molecule modulators, including mostly inhibitors, targeting 98 unique proteins that have been nominated by AMP-AD consortium members as novel targets for AD treatment. These small molecules vary in their quality and should be considered chemical tools that can be used in efforts to validate therapeutic hypotheses, but which would require further optimization. A physical copy of the AD Informer Set can be ordered via the AD Knowledge Portal. Discussion: Small molecule tools that enable target validation are important tools for the translation of novel hypotheses into viable therapeutic strategies for AD.