Design, synthesis, and biological evaluation of tetrahydroquinolin derivatives as potent inhibitors of CBP bromodomain.

CREB-binding protein (CBP) is a large multi-domain protein containing a HAT domain catalyzing transacetylation and a bromodomain responsible for acetylated lysine recognition. CBPs could act as transcription co-activators to regulate gene expression and have been shown to play a significant role in the development and progression of many cancers. Herein, through in silico screening two hit compounds with tetrahydroquinolin methyl carbamate scaffold were discovered, among which DC-CPin7 showed an in vitro inhibitory activity with the TR-FRET IC50 value of 2.5 ± 0.3 µM. We obtained a high-resolution co-crystal structure of the CBP bromodomain in complex with DC-CPin7 to guide following structure-based rational drug design, which yielded over ten DC-CPin7 derivatives with much higher potency, among which DC-CPin711 showed approximately 40-fold potency compared with hit compound DC-CPin7 with an in vitro TR-FRET IC50 value of 63.3 ± 4.0 nM. Notably, DC-CPin711 showed over 150-fold selectivity against BRD4 bromodomains. Moreover, DC-CPin711 showed micromolar level of anti-leukemia proliferation through G1 phase cell cycle arrest and cell apoptosis. In summary, through a combination of computational and crystal-based structure optimization, DC-CPin711 showed potent in vitro inhibitory activities to CBP bromodomain with a decent selectivity towards BRD4 bromodomains and good cellular activity to leukemia cells, which could further be applied to related biological and translational studies as well as serve as a lead compound for future development of potent and selective CBP bromodomain inhibitors.

Discovery of alkoxy benzamide derivatives as novel BPTF bromodomain inhibitors via structure-based virtual screening.

Bromodomain PHD finger transcription factor (BPTF), a bromodomain-containing protein, plays a crucial role in the regulation of downstream gene expression through the specific recognition of lysine acetylation on bulk histones. The dysfunction of BPTF is closely involved with the development and progression of many human diseases, especially cancer. Therefore, BPTF bromodomain has become a promising drug target for epigenetic cancer therapy. However, unlike BET family inhibitors, few BPTF bromodomain inhibitors have been reported. In this study, by integrating docking-based virtual screening with biochemical analysis, we identified a novel selective BPTF bromodomain inhibitor DCB29 with the IC50 value of 13.2 ±â€¯1.6 µM by homogenous time-resolved fluorescence resonance energy transfer (HTRF) assays. The binding between DCB29 and BPTF was confirmed by NMR and SPR. Molecular docking disclosed that DCB29 occupied the pocket of acetylated H4 peptide substrate and provided detailed SAR explanations for its derivatives. Collectively, DCB29 presented great potential as a powerful tool for BPTF-related biological research and further medicinal chemistry optimization.

Design, Synthesis, and Biological Evaluation of Novel DNA Gyrase-Inhibiting Spiropyrimidinetriones as Potent Antibiotics for Treatment of Infections Caused by Multidrug-Resistant Gram-Positive Bacteria.

Spiropyrimidinetriones are a novel class of antibacterial agents that target the bacterial type II topoisomerase via a new mode of action. Compound ETX0914 is thus far the only drug from this class that is being evaluated in clinical trials. To improve the antibacterial activity and pharmacokinetic properties of ETX0914, we carried out systematic structural modification of this compound, and a number of compounds with increased potency were obtained. The most promising compound 33e, with incorporation of a spirocyclopropane at the oxazolidinone 5 position reduced metabolism, exhibited excellent antibacterial activity against Gram-positive pathogens and a good pharmacokinetic profile combined with high aqueous solubility. In addition, compound 33e exhibited good selectivity for Staphylococcus aureus gyrase over human Topo IIα. In a murine model of systemic methicillin-resistant S. aureus infection, 33e exhibited superior in vivo efficacy (ED50 = 3.87 mg/kg) compared to ETX0914 (ED50 = 11.51 mg/kg).

Traditional Chinese medicine and drug-induced anaphylaxis: data from the Beijing pharmacovigilance database.

Background Traditional Chinese medicine (TCM) is one of the major triggers for drug-induced anaphylaxis (DIA). Objective We aimed to use the Beijing pharmacovigilance database (BPD) to analyze TCM-induced DIAs in Beijing, China. Setting Drug allergy case reports from the BPD provided by the Beijing Center for Adverse Drug Reaction Monitoring. Method Drug allergy cases from January 2004 to December 2014 were adjudicated. DIA triggered by TCMs were analyzed and compared with those triggered by non-TCM drugs by calculating the reported risk ratio (RRR). We also calculated the RRRs based on severe DIA and death outcomes. Main outcome measure TCMs implicated in DIAs were identified and compared with non-TCM drugs. Results TCMs accounted for 1651 (18.2%) of the total 9074 allergic cases, in which 84.4% (1393/1651) were triggered by injections. Of the TCM allergic cases, 8.5% (141) were DIAs and 7.3% (120) were severe DIAs, and three patients died from injections. The RRR between TCMs and non-TCM-induced DIAs was 0.63. When anaphylactic cases were compared between TCMs to the top four non-TCM drug triggers, RRRs were 0.73 (95% CI 0.61-0.87) for antibiotics, 0.36 (95% CI 0.29-0.44) for radiocontrast agents, 0.55 (95% CI 0.43-0.68) for chemotherapeutics, and 0.29 (95% CI 0.23-0.37) for biologics. Compared to TCM oral or topic formulations, TCM injections had higher RRRs in each of the above comparisons. Conclusion TCM was associated with a decreased risk of DIA compared to non-TCM drugs in drug allergy cases, and the risk was higher for TCM injections.

Discovery of 1,8-acridinedione derivatives as novel GCN5 inhibitors via high throughput screening.

The general control nonrepressed protein 5 (GCN5) plays a crucial role in many biological processes. Dysregulation of GCN5 has been closely related to various human diseases, especially cancers. Hence, the exploitation of small molecules targeting GCN5 is essential for drug design and academic research. Based on the amplified luminescent proximity homogeneous assay screen methodology, we performed high throughput screening and discovered a novel GCN5 inhibitor DC_G16 with 1,8-acridinedione scaffold. Structure optimization led to the identification of a highly potent inhibitor, namely DC_G16-11 with the half-maximal inhibitory concentration (IC50) value of 6.8 µM. The binding between DC_G16-11 and GCN5 was demonstrated by NMR and SPR with a KD of 4.2 µM. It could also inhibit proliferation and induce cell cycle arrest and apoptosis in cancer cells while it presented minimal effects on normal cells. Herein, DC_G16-11 could be applied as a validated chemical probe for GCN5-related biological function research and presented great potential for clinical disease treatment.

Machine-Learning-Assisted Approach for Discovering Novel Inhibitors Targeting Bromodomain-Containing Protein 4.

Bromodomain-containing protein 4 (BRD4) is implicated in the pathogenesis of a number of different cancers, inflammatory diseases and heart failure. Much effort has been dedicated toward discovering novel scaffold BRD4 inhibitors (BRD4is) with different selectivity profiles and potential antiresistance properties. Structure-based drug design (SBDD) and virtual screening (VS) are the most frequently used approaches. Here, we demonstrate a novel, structure-based VS approach that uses machine-learning algorithms trained on the priori structure and activity knowledge to predict the likelihood that a compound is a BRD4i based on its binding pattern with BRD4. In addition to positive experimental data, such as X-ray structures of BRD4-ligand complexes and BRD4 inhibitory potencies, negative data such as false positives (FPs) identified from our earlier ligand screening results were incorporated into our knowledge base. We used the resulting data to train a machine-learning model named BRD4LGR to predict the BRD4i-likeness of a compound. BRD4LGR achieved a 20-30% higher AUC-ROC than that of Glide using the same test set. When conducting in vitro experiments against a library of previously untested, commercially available organic compounds, the second round of VS using BRD4LGR generated 15 new BRD4is. Moreover, inverting the machine-learning model provided easy access to structure-activity relationship (SAR) interpretation for hit-to-lead optimization.

Identification of Novel Inhibitors against Coactivator Associated Arginine Methyltransferase 1 Based on Virtual Screening and Biological Assays.

Overexpression of coactivator associated arginine methyltransferase 1 (CARM1), a protein arginine N-methyltransferase (PRMT) family enzyme, is associated with various diseases including cancers. Consequently, the development of small-molecule inhibitors targeting PRMTs has significant value for both research and therapeutic purposes. In this study, together with structure-based virtual screening with biochemical assays, two compounds DC_C11 and DC_C66 were identified as novel inhibitors of CARM1. Cellular studies revealed that the two inhibitors are cell membrane permeable and effectively blocked proliferation of cancer cells including HELA, K562, and MCF7. We further predicted the binding mode of these inhibitors through molecular docking analysis, which indicated that the inhibitors competitively occupied the binding site of the substrate and destroyed the protein-protein interactions between CARM1 and its substrates. Overall, this study has shed light on the development of small-molecule CARM1 inhibitors with novel scaffolds.

Identification of novel EZH2 inhibitors through pharmacophore-based virtual screening and biological assays.

Polycomb repressive complex 2 (PRC2) acts as a primary writer for di- and tri-methylation of histone H3 at lysine 27. This protein plays an essential role in silencing gene expression. Enhancer of zeste 2 (EZH2), the catalytic subunit of PRC2, is considered as a promising therapeutic target for cancer. GSK126, a specific inhibitor of EZH2, is undergoing phase I trials for hypermethylation-related cancers. In addition, many derivatives of GSK126 are also commonly used in laboratory investigations. However, studies on the mechanism and drug development of EZH2 are limited by the absence of structural diversity of these inhibitors because they share similar SAM-like scaffolds. In this study, we generated a pharmacophore model based on reported EZH2 inhibitors and performed in silico screenings. Experimental validations led to the identification of two novel EZH2 inhibitors, DCE_42 and DCE_254, with IC50 values of 23 and 11µM, respectively. They also displayed significant anti-proliferation activity against lymphoma cell lines. Thus, we discovered potent EZH2 inhibitors with novel scaffold using combined in silico screening and experimental study. Results from this study can also guide further development of novel specific EZH2 inhibitors.