Identification and Characterization of Approved Drugs and Drug-Like Compounds as Covalent Escherichia coli ClpP Inhibitors

The serine protease Caseinolytic protease subunit P (ClpP) plays an important role for protein homeostasis in bacteria and contributes to various developmental processes, as well as virulence. Therefore, ClpP is considered as a potential drug target in Gram-positive and Gram-negative bacteria. In this study, we utilized a biochemical assay to screen several small molecule libraries of approved and investigational drugs for Escherichia coli ClpP inhibitors. The approved drugs bortezomib, cefmetazole, cisplatin, as well as the investigational drug cDPCP, and the protease inhibitor 3,4-dichloroisocoumarin (3,4-DIC) emerged as ClpP inhibitors with IC50 values ranging between 0.04 and 31 µM. Compound profiling of the inhibitors revealed cefmetazole and cisplatin not to inhibit the serine protease bovine α-chymotrypsin, and for cefmetazole no cytotoxicity against three human cell lines was detected. Surface plasmon resonance studies demonstrated all novel ClpP inhibitors to bind covalently to ClpP. Investigation of the potential binding mode for cefmetazole using molecular docking suggested a dual covalent binding to Ser97 and Thr168. While only the antibiotic cefmetazole demonstrated an intrinsic antibacterial effect, cDPCP clearly delayed the bacterial growth recovery time upon chemically induced nitric oxide stress in a ClpP-dependent manner

Identification and Characterization of Approved Drugs and Drug-Like Compounds as Covalent Escherichia coli ClpP Inhibitors

The serine protease Caseinolytic protease subunit P (ClpP) plays an important role for protein homeostasis in bacteria and contributes to various developmental processes, as well as virulence. Therefore, ClpP is considered as a potential drug target in Gram-positive and Gram-negative bacteria. In this study, we utilized a biochemical assay to screen several small molecule libraries of approved and investigational drugs for Escherichia coli ClpP inhibitors. The approved drugs bortezomib, cefmetazole, cisplatin, as well as the investigational drug cDPCP, and the protease inhibitor 3,4-dichloroisocoumarin (3,4-DIC) emerged as ClpP inhibitors with IC50 values ranging between 0.04 and 31 µM. Compound profiling of the inhibitors revealed cefmetazole and cisplatin not to inhibit the serine protease bovine α-chymotrypsin, and for cefmetazole no cytotoxicity against three human cell lines was detected. Surface plasmon resonance studies demonstrated all novel ClpP inhibitors to bind covalently to ClpP. Investigation of the potential binding mode for cefmetazole using molecular docking suggested a dual covalent binding to Ser97 and Thr168. While only the antibiotic cefmetazole demonstrated an intrinsic antibacterial effect, cDPCP clearly delayed the bacterial growth recovery time upon chemically induced nitric oxide stress in a ClpP-dependent manner

Development and Experimental Validation of Regularized Machine Learning Models Detecting New, Structurally Distinct Activators of PXR

The pregnane X receptor (PXR) regulates the metabolism of many xenobiotic and endobiotic substances. In consequence, PXR decreases the efficacy of many small-molecule drugs and induces drug-drug interactions. The prediction of PXR activators with theoretical approaches such as machine learning (ML) proves challenging due to the ligand promiscuity of PXR, which is related to its large and flexible binding pocket. In this work we demonstrate, by the example of random forest models and support vector machines, that classifiers generated following classical training procedures often fail to predict PXR activity for compounds that are dissimilar from those in the training set. We present a novel regularization technique that penalizes the gap between a model’s training and validation performance. On a challenging test set, this technique led to improvements in Matthew correlation coefficients (MCCs) by up to 0.21. Using these regularized ML models, we selected 31 compounds that are structurally distinct from known PXR ligands for experimental validation. Twelve of them were confirmed as active in the cellular PXR ligand-binding domain assembly assay and more hits were identified during follow-up studies. Comprehensive analysis of key features of PXR biology conducted for three representative hits confirmed their ability to activate the PXR

Bewertung des endokrinen Potenzials von Bisphenol Alternativstoffen in umweltrelevanten Verwendungen. Abschlussbericht

Bisphenol A (BPA) is mainly used as raw material in the production of plastic products. Due to its hormone-like effects in humans and other organisms, the use of BPA is closely connected to human health and environmental risks. Thus, there is high interest in substances with similar properties to BPA regarding its use in plastic products, however do not negatively influence the endocrine system of any organism. There are substantial data gaps regarding the molecular mode of action of many substitution candidates, which impede the assessment of their influence on the environment. A literature research was performed in order to identify environmentally relevant BPA substitution candidates. Furthermore, the interaction of these substances with a set of nuclear receptors was investigated, which might be responsible for the endocrine effects of BPA. The application of a number of biochemical and cell-based screening assays, the influence of these substances on the estrogen receptors α and β, as well as of the androgen receptor was determined

On the relationship of anthranilic derivatives structure and the FXR (Farnesoid X receptor) agonist activity

<p>Farnesoid X receptor (FXR) is a nuclear receptor related to lipid and glucose homeostasis and is considered an important molecular target to treatment of metabolic diseases as diabetes, dyslipidemia, and liver cancer. Nowadays, there are several FXR agonists reported in the literature and some of it in clinical trials for liver disorders. Herein, a compound series was employed to generate QSAR models to better understand the structural basis for FXR activation by anthranilic acid derivatives (AADs). Furthermore, here we evaluate the inclusion of the standard deviation (SD) of EC₅₀ values in QSAR models quality. Comparison between the use of experimental variance plus average values in model construction with the standard method of model generation that considers only the average values was performed. 2D and 3D QSAR models based on the AAD data set including SD values showed similar molecular interpretation maps and quality (<i>Q</i>²_LOO, <i>Q</i>²_(F2), and <i>Q</i>²_(F3)), when compared to models based only on average values. SD-based models revealed more accurate predictions for the set of test compounds, with lower mean absolute error indices as well as more residuals near zero. Additionally, the visual interpretation of different QSAR approaches agrees with experimental data, highlighting key elements for understanding the biological activity of AADs. The approach using standard deviation values may offer new possibilities for generating more accurate QSAR models based on available experimental data.</p

A tiered high-throughput screening approach for evaluation of estrogen and androgen receptor modulation by environmentally relevant bisphenol A substitutes

Bisphenol A (BPA) is a high production volume chemical with a broad application spectrum. As an endocrine disrupting chemical, mainly by modulation of nuclear receptors (NRs), BPA has an adverse impact on organisms and is identified as a substance of very high concern under the European REACH regulation. Various BPA substitution candidates have been developed in recent years, however, information concerning the endocrine disrupting potential of these substances is still incomplete or missing. In this study, we intended to investigate the endocrine potential of BPA substitution candidates used in environmentally relevant applications such as thermal paper or epoxy resins. Based on an extensive literature and patent search, 33 environmentally relevant BPA substitution candidates were identified. In order to evaluate the endocrine potential of the BPA replacements, a screening cascade consisting of biochemical and cell-based assays was employed to investigate substance binding to the NRs estrogen receptor α and β, as well as androgen receptor, co-activator recruitment and NR-mediated reporter gene activation. In addition, a computational docking approach for retrospective prediction of receptor binding was carried out. Our results show that some BPA substitution candidates, for which so far no or only very few data were available, possess a substantial endocrine disrupting potential (TDP, BPZ), while several substances (BPS, D-8, DD70, DMP-OH, TBSA, D4, CBDO, ISO, VITC, DPA, and DOPO) did not reveal any NR binding