Theoretical and Experimental Studies on Plant Light-Dependent Protochlorophyllide Oxidoreductase as a Novel Target for Searching Potential Herbicides.

Herbicide resistance is a prevalent problem that has posed a foremost challenge to crop production worldwide. Light-dependent enzyme NADPH: protochlorophyllide oxidoreductase (LPOR) in plants is a metabolic target that could satisfy this unmet demand. Herein, for the first time, we embarked on proposing a new mode of action of herbicides by performing structure-based virtual screening targeting multiple LPOR binding sites, with the determination of further bioactivity on the lead series. The feasibility of exploiting high selectivity and safety herbicides targeting LPOR was discussed from the perspective of the origin and phylogeny. Besides, we revealed the structural rearrangement and the selection key for NADPH cofactor binding to LPOR. Based on these, multitarget virtual screening was performed and the result identified compounds 2 affording micromolar inhibition, in which the IC50 reached 4.74 µM. Transcriptome analysis revealed that compound 2 induced more genes related to chlorophyll synthesis in Arabidopsis thaliana, especially the LPOR genes. Additionally, we clarified that these compounds binding to the site enhanced the overall stability and local rigidity of the complex systems from molecular dynamics simulation. This study delivers a guideline on how to assess activity-determining features of inhibitors to LPOR and how to translate this knowledge into the design of novel and effective inhibitors against malignant weed that act by targeting LPOR.

Investigation on the interaction of pyrethroid pesticides to estrogen receptor alpha through computational and experimental methods.

Pyrethroid insecticides are a group of widely used bio-mimetic synthetic pesticides. However, recent studies reported that they could have an accumulation effect in human which may cause series of health problems. Estrogen receptors (ER) are a class of nuclear receptors that are vital in proper physiological behavior of estrogens. To investigate the reproductive toxicity of pyrethroids, homology modeling, molecular docking, molecular dynamic simulations (MDs) were conducted to explore the interaction between pyrethroids and ERα from atomic scale. The human ERα (2YJA) was selected as a template protein for homology modeling. Then eight typical pyrethroids and positive control estradiol were docked to the modeled protein. The highest scoring bifenthrin and the lowest scoring permethrin were chosen for in-depth analysis. MDs showed that the complex formed by permethrin with ERα had a lower RMSD value and binding free energies compared to bifenthrin. Based on these results from microscopic dimension, exposure experiments were implemented to validate the primary conclusions. VTG concentrations in male zebrafish's blood were significantly higher under permethrin exposure than bifenthrin, suggesting a stronger estrogenic activity and binding propensity. In this regard, the structural characteristics of molecules were analyzed, expecting to provide theoretical references for subsequent drug design and rational drug application.

Computational and experimental investigations on the interactions of aryloxy-phenoxy-propionate herbicides to estrogen receptor alpha in zebrafish.

When the amount of pesticide exceeds the self-purification ability of the environment, it will be enriched in the human body through the atmosphere, soil, water circulation, etc., threatening human health. Aryloxy-phenoxy-propionate (APP) herbicides are a class of acetyl-CoA carboxylase (ACCase) inhibitor herbicides, widely used in field-weeding of soybean, cabbage, peanut and other crops. However, due to the water circulation, surface runoff and the agronomic practices such as watering irrigation, APP herbicides have the risk of polluting water and destroying the living environment of aquatic organisms. In this paper, a multistep framework combining homology modeling, molecular docking and molecular dynamic simulations were adopted to explore the interactions between APP herbicides and zebrafish estrogen receptor α (ERα) to investigate the estrogenic activities of the herbicides. The structure of zebrafish ERα was modeled by homology modeling, using the human's estrogen receptor α (PDB ID:2YJA) as the template. Then, eight typical APP herbicides were selected to dock with the zebrafish ERα, and it was determined that there were clear interactions between the herbicides and the receptor. The binding patterns of Quizalofop-P-ethyl (QPE), Clodinafop-propargyl (CP) and Haloxyfop-P (HP) with ERα were further investigated by molecular dynamics and binding free energy calculation. The results showed the van der Waals force and electrostatic force were the main driving forces for maintaining the stability of the complex system. In order to verify the theoretical prediction, an exposed experiment was conducted to study the effects of different concentrations of herbicides on VTG level of zebrafish in vivo and the results were consistent with the computational method. The results of this study revealed the mechanism of the action between APP herbicides and zebrafish estrogen receptors, and also provided ideas for optimizing the herbicides.

Discovery of Novel Inhibitors Targeting Human O-GlcNAcase: Docking-Based Virtual Screening, Biological Evaluation, Structural Modification, and Molecular Dynamics Simulation.

ß-N-Acetylhexosaminidases have emerged as promising targets for drug and pesticide discovery due to their critical physiological functions in various cellular processes. In particular, human O-GlcNAcase (hOGA) from the glycoside hydrolase family 84 (GH84) has gained significant attention. This enzyme was found to be linked to various diseases such as diabetes, cancer, and Alzheimer's disease (AD). In this study, to develop novel hOGA inhibitors with suitable pharmaceutical properties, virtual screening of the Drugbank database was performed using a docking-based approach targeting hOGA. Chlorhexidine (4, Ki = 4.0 µM) was identified as a potent hOGA inhibitor with excellent selectivity (Ki > 200 µM against human ß-N-acetylhexosaminidase B) and subjected to structural modifications and SAR studies. Furthermore, molecular dynamics simulations as well as binding free energy and free energy decomposition calculations were carried out to investigate the basis for the efficiency of potent inhibitors against hOGA. This present work revealed the new application of the disinfectant chlorhexidine and provided useful information for the future design of hOGA inhibitors.

Design and Optimization of Thioglycosyl-naphthalimides as Efficient Inhibitors Against Human O-GlcNAcase.

ß-N-acetylhexosaminidases represent an important class of exoglycosidases and have emerged as the promising targets for drug and pesticide discovery. Among these, human O-GlcNAcase (hOGA) has been reported to be closely linked to several diseases such as Alzheimer's disease, diabetes, and cancer. Potent hOGA inhibitors with high selectivity are therefore of great significance for the regulation of the corresponding physiological processes. In this study, several classes of novel and readily available thioglycosyl-naphthalimides bearing the amide linker were designed and synthesized. To investigate their potency and selectivity, the inhibitory efficiencies toward hOGA and human ß-N-acetylhexosaminidase B (HsHexB) were assayed. Especially, compounds 10a (K i = 0.61 µM) and 16l (K i = 0.72 µM) exhibited excellent inhibitory potency against hOGA and high selectivity (HsHexB, K i > 100 µM). In addition, during the preparation of these thioglycosyl-naphthalimides, a new practical method was developed for the synthesis of ureido glycosides from trichloroethyl carbamates at room temperature and normal pressure without catalyst. Furthermore, the possible binding modes of hOGA with 10a, 10d, and 16j were studied using molecular docking and molecular dynamics simulations to explore the molecular basis for the potency of these thioglycosides. This work present here provides useful clues for the further structural optimization toward hOGA.

Novel Glycosylated Naphthalimide-Based Activatable Fluorescent Probe: A Tool for the Assessment of Hexosaminidase Activity and Intracellular Hexosaminidase Imaging.

The development of effective detection methods for hexosaminidase is of great importance for the rapid screening of potential inhibitors in vitro and for the early diagnosis of related diseases ex vivo. In this study, the activatable fluorescent probes that are based on naphthalimide decorated with ethylene glycol units were synthesized using N-acetyl-ß-d-glucosaminide as a hexosaminidase-responsive group. When exposed to this enzyme, the glucoside-linked naphthalimide moiety of 1c can be cleaved quickly with significant changes in both color (from colorless to yellow) and fluorescence (from blue to green). Probe 1c shows better water-solubility and fluorescence properties than common substrate 4-methylumbelliferyl N-acetyl-ß-d-glucosaminide. Furthermore, the response mechanism of 1c to hexosaminidase was evaluated using HPLC analysis and TD-DFT calculations. Molecular docking was performed to investigate the interaction mode. In addition, 1c has successfully achieved the straightforward rapid discovery of effective hexosaminidase inhibitors. Fluorescence imaging experiments indicate that 1c has good cell safety and can be employed as a useful tool for detecting intracellular hexosaminidase activity.

Use of natural products as chemical library for drug discovery and network pharmacology.

BACKGROUND: Natural products have been an important source of lead compounds for drug discovery. How to find and evaluate bioactive natural products is critical to the achievement of drug/lead discovery from natural products. METHODOLOGY: We collected 19,7201 natural products structures, reported biological activities and virtual screening results. Principal component analysis was employed to explore the chemical space, and we found that there was a large portion of overlap between natural products and FDA-approved drugs in the chemical space, which indicated that natural products had large quantity of potential lead compounds. We also explored the network properties of natural product-target networks and found that polypharmacology was greatly enriched to those compounds with large degree and high betweenness centrality. In order to make up for a lack of experimental data, high throughput virtual screening was employed. All natural products were docked to 332 target proteins of FDA-approved drugs. The most potential natural products for drug discovery and their indications were predicted based on a docking score-weighted prediction model. CONCLUSIONS: Analysis of molecular descriptors, distribution in chemical space and biological activities of natural products was conducted in this article. Natural products have vast chemical diversity, good drug-like properties and can interact with multiple cellular target proteins.