Heterobifunctional proteolysis targeting chimeras (PROTACs) are proven to degrade disease-causing proteins, and many PROTACs have already entered into clinical trials. The majority of these PROTACs recruit cereblon (CRBN) or von Hippel-Lindau (VHL) substrate receptors of cullin RING E3 ubiquitin ligases, but there remains a need for alternative E3 ligase ligands. In this study, we enable DDB1 as an E3 ligase adapter protein for PROTAC drug discovery, describe a DNA-encoded library (DEL) ligand discovery campaign, and report the identification of a novel DDB1 ligand. Structure-guided modifications allowed DDB1 ligands to be developed from the initial DEL hit with nanomolar potency. Biochemical assays, cellular target engagement, and X-ray crystallography analysis demonstrated binding of the ligand to a unique pocket within DDB1. This chemical series furthers our understanding of ligand binding pockets within DDB1 and expands the repertoire of small molecules that may be suitable for the incorporation into PROTACs.
Accurate prediction of the affinity of ligand binding to nucleic acids represents a formidable challenge for current computational approaches. This limitation has hindered the use of computational methods to develop small-molecule drugs that modulate the activity of nucleic acids, including those associated with anticancer, antiviral, and antibacterial effects. In recent years, significant scientific and technological advances as well as easier access to compute resources have contributed to free-energy perturbation (FEP) becoming one of the most consistently reliable approaches for predicting relative binding affinities of ligands to proteins. Nevertheless, FEP's applicability to nucleic-acid targeting ligands has remained largely undetermined. In this work, we present a systematic assessment of the accuracy of FEP, as implemented in FEP+ software and facilitated by the OPLS4 force field, in predicting relative binding free energies of congeneric series of ligands interacting with a variety of DNA/RNA systems. The study encompassed more than 100 ligands exhibiting diverse binding modes, some partially exposed and others deeply buried. Using a consistent simulation protocol, more than half of the predictions are within 1 kcal/mol of the experimentally measured values. Across the data set, we report a combined average pairwise root-mean-square-error of <1.4 kcal/mol, which falls within one log unit of the experimentally measured dissociation constants. These results suggest that FEP+ has sufficient accuracy to guide the optimization of lead series in drug discovery programs targeting RNA and DNA.
Targeted protein degradation (TPD) by PROTAC (proteolysis-targeting chimera) and molecular glue small molecules is an emerging therapeutic strategy. To expand the roster of E3 ligases that can be utilized for TPD, we describe the discovery and biochemical characterization of small-molecule ligands targeting the E3 ligase KLHDC2. Furthermore, we functionalize these KLHDC2-targeting ligands into KLHDC2-based BET-family and AR PROTAC degraders and demonstrate KLHDC2-dependent target-protein degradation. Additionally, we offer insight into the assembly of the KLHDC2 E3 ligase complex. Using biochemical binding studies, X-ray crystallography and cryo-EM, we show that the KLHDC2 E3 ligase assembles into a dynamic tetramer held together via its own C terminus, and that this assembly can be modulated by substrate and ligand engagement. Using structural, biochemical, and functional assays, the authors demonstrate that the E3 ligase KLHDC2, via newly developed small-molecule ligands, can be co-opted to target critical targets for degradation.
AbstractPurpose: Estrogen receptor (ER) alpha signaling is a known driver of ER-positive (ER+)/human epidermal growth factor receptor 2 negative (HER2−) breast cancer. Combining endocrine therapy (ET) such as fulvestrant with CDK4/6, mTOR, or PI3K inhibitors has become a central strategy in the treatment of ER+ advanced breast cancer. However, suboptimal ER inhibition and resistance resulting from the ESR1 mutation dictates that new therapies are needed. Experimental Design: A medicinal chemistry campaign identified vepdegestrant (ARV-471), a selective, orally bioavailable, and potent small molecule PROteolysis-TArgeting Chimera (PROTAC) degrader of ER. We used biochemical and intracellular target engagement assays to demonstrate the mechanism of action of vepdegestrant, and ESR1 wild-type (WT) and mutant ER+ preclinical breast cancer models to demonstrate ER degradation-mediated tumor growth inhibition (TGI). Results: Vepdegestrant induced ≥90% degradation of wild-type and mutant ER, inhibited ER-dependent breast cancer cell line proliferation in vitro, and achieved substantial TGI (87%–123%) in MCF7 orthotopic xenograft models, better than those of the ET agent fulvestrant (31%–80% TGI). In the hormone independent (HI) mutant ER Y537S patient-derived xenograft (PDX) breast cancer model ST941/HI, vepdegestrant achieved tumor regression and was similarly efficacious in the ST941/HI/PBR palbociclib-resistant model (102% TGI). Vepdegestrant-induced robust tumor regressions in combination with each of the CDK4/6 inhibitors palbociclib, abemaciclib, and ribociclib; the mTOR inhibitor everolimus; and the PI3K inhibitors alpelisib and inavolisib. Conclusions: Vepdegestrant achieved greater ER degradation in vivo compared with fulvestrant, which correlated with improved TGI, suggesting vepdegestrant could be a more effective backbone ET for patients with ER+/HER2− breast cancer.
A concise approach to a simplified eleuthoside core is described. This synthetic pathway takes advantage of an aldol motif strategically positioned to direct the course of key transformations by way of an in-situ retro-aldol process. This putative reaction manifold enables an intramolecular Diels–Alder reaction to establish the requisite A-ring framework and therein three contiguous chiral centers (4), a regioselective one-carbon homologation to complete the B-ring carbon skeleton and finally a fragmentation process that unveils the eunicellan scaffold (29), which was further functionalized to eleuthoside 37.
We have recently reported that coadministration of sulpiride, an antipsychotic drug, and fluvoxamine, a selective serotonin (5-HT) reuptake inhibitor, selectively increases in vivo dopamine release in the prefrontal cortex. This study examined the effects of coadministration of these drugs on duration of immobility in the tail suspension test using mice. Neither sulpiride (3 or 10 mg/kg) nor fluvoxamine (10 or 20 mg/kg) alone affected immobility time, whereas coadministration significantly reduced immobility time. WAY 100635, a 5-HT(1A) receptor antagonist, did not affect the effects of sulpiride and fluvoxamine coadministration, but reduced immobility time in combination with fluvoxamine (20 mg/kg). A high dose of fluvoxamine alone (60 mg/kg) also reduced immobility time. These results suggest that the antidepressant-like effects of fluvoxamine in combination with sulpiride or WAY 100635 in the tail suspension test are mediated by the activation of dopamine or 5-HT systems, respectively.
Targeted protein degradation (TPD) is an emerging therapeutic modality with the potential to tackle disease-causing proteins that have historically been highly challenging to target with conventional small molecules. In the 20 years since the concept of a proteolysis-targeting chimera (PROTAC) molecule harnessing the ubiquitin-proteasome system to degrade a target protein was reported, TPD has moved from academia to industry, where numerous companies have disclosed programmes in preclinical and early clinical development. With clinical proof-of-concept for PROTAC molecules against two well-established cancer targets provided in 2020, the field is poised to pursue targets that were previously considered 'undruggable'. In this Review, we summarize the first two decades of PROTAC discovery and assess the current landscape, with a focus on industry activity. We then discuss key areas for the future of TPD, including establishing the target classes for which TPD is most suitable, expanding the use of ubiquitin ligases to enable precision medicine and extending the modality beyond oncology.
From late 2020 the world observed the rapid emergence of many distinct SARS-CoV-2 variants. At the same time, pandemic responses resulted in significant global vaccine rollouts that have now significantly lowered Covid-19 hospitalisation and mortality rates in the developed world. Unfortunately, in late 2021, the variant Omicron (B.1.1.529) emerged and it eclipsed the other variants of concern (VOC) in its number of Spike polymorphisms, and its ability to compete with and displacement of the dominant VOC Delta. Herein we accessed the impact of Omicron to humoral neutralisation in vaccinated, convalescent cohorts, in concentrated human IgG from thousands of plasma donors and also alongside many clinically used monoclonal antibodies. Overall, we observed a 17 to 22 fold drop in neutralisation titres across all donors that reached a titre to Omicron. Concentrated pooled human IgG from convalescent and vaccinated donors had greater breadth but was still reduced by 16-fold. In all therapeutic antibodies tested, significant neutralization was only observed for Sotrovimab, with other monoclonals unable to neutralize B.1.1.529.
Although seeking to develop a general and accurate binding free energy calculation method for protein-protein and protein-ligand interactions has been a continuous effort for decades, only limited successes have been obtained so far. Here, we report the development of a metadynamics-based procedure that calculates Dissociation Free Energy (DFE) and its application to 19 non-congeneric protein-protein complexes and hundreds of protein-ligand complexes covering eight targets. We achieved very high correlations in comparison to experimental binding free energies for these diverse sets of systems, demonstrating the generality and accuracy of the method. Since structures of most proteins are available owing to the recent success of prediction by artificial intelligence, a general free energy method such as DFE, combined with other methods, can make structure-based drug design a widely viable and reliable solution to develop both traditional small molecule drugs and biologic drugs as well as PROTACS.
Glutathione peroxidase 4 (GPX4) reduces lipid hydroperoxides in lipid membranes, effectively inhibiting iron-dependent cell death or ferroptosis. The upregulation of the enzyme by the mutations at residues D21 and D23 has been suggested to be associated with higher protein activity, which confers more protection against neurodegenerative diseases such as Alzheimer's, Parkinson's, and Huntington's diseases. Therefore, it has become an attractive target for treating and preventing neurodegenerative diseases. However, identifying means of mimicking the beneficial effects of these mutations distant from the active site constitutes a formidable challenge in moving toward therapeutics. In this study, we explore using molecular dynamics simulations to computationally map the conformational and energetic landscape of the wild-type GPX4 protein and three mutant variants to identify the allosteric networks of the enzyme. We present the conformational dynamic profile providing the desired signature behavior of the enzyme. We also discuss the implications of these findings for drug design efforts.
A new series with the tetrahydroisoquinoline-fused benzodiazepine (TBD) ring system combined with the surrogates of (1-methyl-1H-pyrrol-3-yl)benzene ("MPB") payloads were designed and executed for conjugation with a monoclonal antibody for anticancer therapeutics. DNA models helped in rationally identifying modifications of the "MPB" binding component and guided structure-activity relationship generation. This hybrid series of payloads exhibited excellent in vitro activity when tested against a panel of various cancer cell lines. One of the payloads was appended with a lysosome-cleavable peptide linker and conjugated with an anti-mesothelin antibody via a site-specific conjugation method mediated by the enzyme bacterial transglutaminase (BTGase). Antibody-drug conjugate (ADC) 50 demonstrated good plasma stability and lysosomal cleavage. A single intravenous dose of ADC 50 (5 or 10 nmol/kg) showed robust efficacy in an N87 gastric cancer xenograft model.
BACKGROUND:Drug resistance is a major obstacle in cancer therapy. To elucidate the genetic factors that regulate sensitivity to anti-cancer drugs, we performed CRISPR-Cas9 knockout screens for resistance to a spectrum of drugs.RESULTS:In addition to known drug targets and resistance mechanisms, this study revealed novel insights into drug mechanisms of action, including cellular transporters, drug target effectors, and genes involved in target-relevant pathways. Importantly, we identified ten multi-drug resistance genes, including an uncharacterized gene C1orf115, which we named Required for Drug-induced Death 1 (RDD1). Loss of RDD1 resulted in resistance to five anti-cancer drugs. Finally, targeting RDD1 leads to chemotherapy resistance in mice and low RDD1 expression is associated with poor prognosis in multiple cancers.CONCLUSIONS:Together, we provide a functional landscape of resistance mechanisms to a broad range of chemotherapeutic drugs and highlight RDD1 as a new factor controlling multi-drug resistance. This information can guide personalized therapies or instruct rational drug combinations to minimize acquisition of resistance.
The standard of care for HIV-1 infection, highly active antiretroviral therapy (HAART), combines two or more drugs from at least two classes. Even with the success of HAART, new drugs with novel mechanisms are needed to combat viral resistance, improve adherence, and mitigate toxicities. Active site inhibitors of HIV-1 integrase are clinically validated for the treatment of HIV-1 infection. Here we describe allosteric inhibitors of HIV-1 integrase that bind to the LEDGF/p75 interaction site and disrupt the structure of the integrase multimer that is required for the HIV-1 maturation. A series of pyrazolopyrimidine-based inhibitors was developed with a vector in the 2-position that was optimized by structure-guided compound design. This resulted in the discovery of pyrazolopyrimidine 3, which was optimized at the 2- and 7-positions to afford 26 and 29 as potent allosteric inhibitors of HIV-1 integrase that exhibited low nanomolar antiviral potency in cell culture and encouraging PK properties.
A series of tetrahydroisoquinoline-based benzodiazepine dimers were synthesized and tested for in vitro cytotoxicity against a panel of cancer cell lines. Structure-activity relationship investigation of various spacers guided by molecular modeling studies helped to identify compounds with picomolar activity. Payload 17 was conjugated to anti-mesothelin and anti-fucosylated monosialotetrahexosylganglioside (FucGM1) antibodies using lysosome-cleavable valine-citrulline dipeptide linkers via heterogeneous lysine conjugation and bacterial transglutaminase-mediated site-specific conjugation. In vitro, these antibody drug conjugates (ADCs) exhibited significant cytotoxic and target-mediated selectivity on human cancer cell lines. The pharmacokinetics and efficacy of these ADCs were further evaluated in gastric and lung cancer xenograft models in mice. Consistent pharmacokinetic profiles, high target specificity, and robust antitumor activity were observed in these models after a single dose of the ADC-46 (0.02 mu mol/kg).
Previous studies have identified a series of imidazo[1,2-a]pyridine (IZP) derivatives as potent allosteric inhibitors of HIV-1 integrase (ALLINIs) and virus infection in cell culture. However, IZPs were also found to be relatively potent activators of the pregnane-X receptor (PXR), raising the specter of induction of CYP-mediated drug disposition pathways. In an attempt to modify PXR activity without affecting anti-HIV-1 activity, rational structure-based design and modeling approaches were used. An X-ray cocrystal structure of (S,S)-1 in the PXR ligand binding domain (LBD) allowed an examination of the potential of rational structural modifications designed to abrogate PXR. The introduction of bulky basic amines at the C-8 position provided macrocyclic IZP derivatives that displayed potent HIV-1 inhibitory activity in cell culture with no detectable PXR transactivation at the highest concentration tested.
Protein‐ligand binding mediated by an allosteric effector can be considered from the vantage of dynamic macromolecular structure. Recently, we have developed a methodology, MD‐based Markov State Models (MD‐MSMs) making use of this view. We envision gaining insight into the workings of allosteric systems, and applying those principles to allosterically engineer biomolecules as a new class of therapeutics. Such allosteric regulators hold promise for modulating currently “undruggable” targets. In our approach, Molecular dynamics simulations (MD) generate the Boltzmann ensemble of conformations of a system. Using machine learning to process trajectories, the number of conformational substates can be learned from the conformations of the system (Figure 1A). Network theory captures the dynamic interchange between conformations (Figure 1B). Our recent findings from the application of MD‐MSMs to allosteric proteins (Figure 1C) and principles for engineering allosteric effectors will be presented.Support or Funding InformationNIH R15 GM128102 to KMTThis abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
A series of heterocyclic pyrimidinedione-based HIV-1 integrase inhibitors was prepared and screened for activity against purified integrase enzyme and/or viruses modified with the following mutations within integrase: Q148R, Q148H/G140S and N155H. These are mutations that result in resistance to the first generation integrase inhibitors raltegravir and elvitegravir. Based on consideration of drug-target interactions, an approach was undertaken to replace the amide moiety of the first generation pyrimidinedione inhibitor with azole heterocycles that could retain potency against these key resistance mutations. An imidazole moiety was found to be the optimal amide substitute and the observed activity was rationalized with the use of calculated properties and modeling. Rat pharmacokinetic (PK) studies of the lead imidazole compounds demonstrated moderate clearance and moderate exposure.
Lead inhibitors that target the function of the hepatitis C virus (HCV) nonstructural 5A (NS5A) protein have been identified by phenotypic screening campaigns using HCV subgenomic replicons. The demonstration of antiviral activity in HCV-infected subjects by the HCV NS5A replication complex inhibitor (RCI) daclatasvir (1) spawned considerable interest in this mechanistic approach. In this Perspective, we summarize the medicinal chemistry studies that led to the discovery of 1 and other chemotypes for which resistance maps to the NS5A protein and provide synopses of the profiles of many of the compounds currently in clinical trials. We also summarize what is currently known about the NS5A protein and the studies using NS5A RCIs and labeled analogues that are helping to illuminate aspects of both protein function and inhibitor interaction. We conclude with a synopsis of the results of notable clinical trials with HCV NS5A RCIs.
There continue to be significant unmet medical needs for patients with HIV-1 infection. One way to improve adherence and decrease the likelihood of drug-drug interactions in HIV-1-infected patients is through the development of long-acting biologic inhibitors. Building on a bi-specific inhibitor approach targeting CD4 and gp41, a tri-specific molecule was generated with three distinct antiviral activities. The linkage of these three biologic inhibitors creates synergy that offers a series of advantages to the molecule. The addition of human serum albumin to the tri-specific inhibitor could allow it to function as a long-acting self-administered treatment for patients with HIV infection. This molecule is currently in early clinical trials.