Design, Synthesis, and Biological Evaluation of Novel Indanone Derivatives as Cholinesterase Inhibitors for Potential Use in Alzheimer's Disease.

Indanone derivatives containing meta/para-substituted aminopropoxy benzyl/benzylidene moieties were designed based on the structures of donepezil and ebselen analogs as the cholinesterase inhibitors. The designed compounds were synthesized and their acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitory activities were measured. Inhibitory potencies (IC50 values) for the synthesized compounds ranged from 0.12 to 11.92 µM and 0.04 to 24.36 µM against AChE and BChE, respectively. Compound 5 c showed the highest AChE inhibitory potency with IC50 value of 0.12 µM, whereas the highest BChE inhibition was achieved by structure 7 b (IC50 =0.04 µM). Structure-activity relationship (SAR) analysis revealed that there is no significant difference between meta and para-substituted derivatives in AChE and BChE inhibition. However, the most potent AChE inhibitor 5 c belongs to meta-substituted compounds, while the most active BChE inhibitor is para-substituted derivative 7 b. The order of enzyme inhibition potency based on the substituted amine group is dimethyl amine>piperidine>morpholine. Compounds containing C=C linkage are more potent AChE inhibitors than the corresponding saturated structures. Molecular docking studies indicated that 5 c interacts with AChE in a very similar way to that observed experimentally for donepezil. The introduced indanone-aminopropoxy benzylidenes could be used in drug-discovery against Alzheimer's disease.

Development of New Inhibitors of HDAC1-3 Enzymes Aided by In Silico Design Strategies.

Histone deacetylases (HDACs) are overexpressed in cancer, and their inhibition shows promising results in cancer therapy. In particular, selective class I HDAC inhibitors such as entinostat are proposed to be more beneficial in breast cancer treatment. Computational drug design is an inevitable part of today's drug discovery projects because of its unequivocal role in saving time and cost. Using three HDAC inhibitors trichostatin, vorinostat, and entinostat as template structures and a diverse fragment library, all synthetically accessible compounds thereof (∼3200) were generated virtually and filtered based on similarity against the templates and PAINS removal. The 298 selected structures were docked into the active site of HDAC I and ranked using a calculated binding affinity. Top-ranking structures were inspected manually, and, considering the ease of synthesis and drug-likeness, two new structures (3a and 3b) were proposed for synthesis and biological evaluation. The synthesized compounds were purified to a degree of more than 95% and structurally verified using various methods. The designed compounds 3a and 3b showed 65-80 and 5% inhibition on HDAC 1, 2, and 3 isoforms at a concentration of 10 µM, respectively. The novel compound 3a may be used as a lead structure for designing new HDAC inhibitors.

Investigation of intestinal transportation of peptide-displaying bacteriophage particles using phage display method.

To investigate whether peptide sequences with specific translocation across the gastrointestinal barrier can be identified as drug delivery vehicles, in vivo phage display was conducted. For this purpose, a random library of 12-mer peptides displayed on M13 bacteriophage was orally administered to mice followed by recovery of the phage particles from the blood samples after three consecutive biopanning rounds. The obtained peptide sequences were analyzed using bioinformatics tools and software. The results demonstrated that M13 bacteriophage bearing peptides translocate nonspecifically across the mice intestinal mucosal barrier deduced from random distribution of amino acids in different positions of the identified peptide sequences. The most probable reason for entering the phage particles into systemic circulation after oral administration of the peptide library can be related to the nanoscale nature of their structures which provides a satisfying platform for the purpose of designing nanocarriers in pharmaceutical applications.

Guided rational design with scaffold hopping leading to novel histamine H3 receptor ligands.

During the past decades, histamine H3 receptors have received widespread attention in pharmaceutical research due to their involvement in pathophysiology of several diseases such as neurodegenerative disorders. In this context, blocking of these receptors is of paramount importance in progression of such diseases. In the current investigation, novel histamine H3 receptor ligands were designed by exploiting scaffold-hopping drug-design strategy. We inspected the designed molecules in terms of ADME properties, drug-likeness, as well as toxicity profiles. Additionally molecular docking and dynamics simulation studies were performed to predict binding mode and binding free energy calculations, respectively. Among the designed structures, we selected compound d2 and its demethylated derivative as examples for synthesis and affinity measurement. In vitro binding assays of the synthesized molecules demonstrated that d2 has lower binding affinity (Ki = 2.61 µM) in radioligand displacement assay to hH3R than that of demethylated form (Ki = 12.53 µM). The newly designed compounds avoid of any toxicity predictors resulted from extended in silico and experimental studies, can offer another scaffold for histamine H3R antagonists for further structure-activity relationship studies.

Synthesis and Biological Evaluation of 1,3,5-Trisubstituted 2-Pyrazolines as Novel Cyclooxygenase-2 Inhibitors with Antiproliferative Activity.

A new series of 1,3,5-trisubstituted 2-pyrazolines for the inhibition of cyclooxygenase-2 (COX-2) were synthesized. The designed structures include a COX-2 pharmacophore SO2 CH3 at the para-position of the phenyl ring located at C-5 of a pyrazoline scaffold. The synthesized compounds were tested for in vitro COX-1/COX-2 inhibition and cell toxicity against human colorectal adenocarcinoma cell lines HT-29. The lead compound (4-chlorophenyl){5-[4-(methanesulfonyl)phenyl]-3-phenyl-4,5-dihydro-1H-pyrazol-1-yl}methanone (16) showed significant COX-2 inhibition (IC50 =0.05±0.01 µM), and antiproliferative activity (IC50 =5.46±4.71 µM). Molecular docking studies showed that new pyrazoline-based compounds interact via multiple hydrophobic and hydrogen-bond interactions with key binding site residues of the COX-2 enzyme.

Hybridization-based design of novel anticholinesterase indanone-carbamates for Alzheimer's disease: Synthesis, biological evaluation, and docking studies.

Inspired by the structures of donepezil and rivastigmine, a novel series of indanone-carbamate hybrids was synthesized using the pharmacophore hybridization-based design strategy, and their biological activities toward acetylcholinesterase (AChE) and butyrylcholinesterase were evaluated. Among the synthesized compounds, 4d and 4b showed the highest AChE inhibitory activities with IC50 values in the micromolar range (compound 4d: IC50 = 3.04 µM; compound 4b: IC50 = 4.64 µM). Moreover, the results of the Aß1-40 aggregation assay revealed that compound 4b is a potent Aß1-40 aggregation inhibitor. The kinetics of AChE enzymatic activity in the presence of 4b was investigated, and the results were indicative of a reversible partial noncompetitive type of inhibition. A molecular docking study was conducted to determine the possible allosteric binding mode of 4b with the enzyme. The allosteric nature of AChE inhibition by these compounds provides the opportunity for the design of subtype-selective enzyme inhibitors. The presented indanone-carbamate scaffold can be structurally modified and optimized through medicinal chemistry-based approaches for designing novel multitargeted anti-Alzheimer agents.

Design, synthesis, biological evaluation, and docking study of novel dual-acting thiazole-pyridiniums inhibiting acetylcholinesterase and ß-amyloid aggregation for Alzheimer's disease.

New compounds containing thiazole and pyridinium moieties were designed and synthesized. The potency of the synthesized compounds as selective inhibitors of acetylcholinesterase (AChE), and ß-amyloid aggregation (Aß) was evaluated. Compounds 7d and 7j showed the best AChE inhibitory activities at the submicromolar concentration range (IC50 values of 0.40 and 0.69 µM, respectively). Most of the novel compounds showed moderate to low inhibition of butyrylcholinesterase (BChE), which is indicative of their selective inhibitory effects towards AChE. Kinetic studies using the most potent compounds 7d and 7j confirmed a mixed-type of AChE inhibition mechanism in accordance with the docking results, which shows their interactions with both catalytic active (CAS) and peripheral anionic (PAS) sites. The specific binding of 7a, 7j, and 7m to PAS domain of AChE was also confirmed experimentally. In addition, 7d and 7j were able to show ß-amyloid self-aggregation inhibitory effects (20.38 and 42.66% respectively) stronger than donepezil (14.70%) assayed at 10 µM concentration. Moreover, compounds 7j and 7m were shown to be effective neuroprotective agents in H2O2-induced oxidative stress on PC12 cells almost similar to those observed for donepezil. The ability of 7j to pass blood-brain barrier was demonstrated using the PAMPA method. The results presented in this work provide useful information about designing novel anti-Alzheimer agents.

Structure-based discovery of novel small molecule inhibitors of platelet-derived growth factor-B.

Platelet-derived growth factor (PDGF) is a family of growth factors with mitogenic and chemotactic activity. However, uncontrolled and overactivated PDGF signaling has been implicated in a variety of diseases, such as cancers and atherosclerosis. In this context, inhibition of PDGF-PDGFR signaling is of paramount importance in progression of such diseases. The purpose of the current study was to identify novel PDGF-B inhibitors using virtual screening methods. To this end, a combination of molecular modeling techniques such as molecular docking and dynamics simulation, as well as drug likeness filtering criteria, was applied to select anti-PDGF peptidomimetic candidates based on crystallography solved structure of an anti-PDGF-B monoclonal antibody named, MOR8457. In vitro biological assays of the selected compounds revealed two of them being active at micromolar IC50 concentrations. The presented work can provide a framework for systematic peptidomimetic identification for anti-PDGF-B agents from large chemical libraries.

Aldehyde oxidase at the crossroad of metabolism and preclinical screening.

Human AOX1 is a member of the mammalian aldehyde oxidase (AOX) family of enzymes and it is an emerging cytosolic enzyme involved in phase I drug-metabolism, bio-transforming a number of therapeutic agents and xenobiotics. The current trend in drug-development is to design molecules which are not recognized and inactivated by CYP450 monooxygenases, the main drug-metabolizing system, to generate novel therapeutic agents characterized by optimal pharmacokinetic and pharmacodynamic properties. Unfortunately, this has resulted in a substantial enrichment in molecules which are recognized and metabolized by AOXs. The observation has raised interest in the generation of tools capable of predicting AOX-dependent drug-metabolism of novel molecules during the early phases of drug development. Such tools are likely to reduce the number of failures occurring at the clinical and late phase of the drug development process. The current review describes different in silico, in vitro and in vivo methods for the prediction of AOX metabolizing ability and focuses on the existing drawbacks and challenges associated with these approaches.

Characterization of the novel anti-TNF-α single-chain fragment antibodies using experimental and computational approaches.

Single-chain fragment variable (scFv) antibodies are antibody fragments consist of variable domains of full antibodies known to retain antigen binding properties while having much lower molecular weights granting some beneficial properties to them. In our previous study, three phage particles each displaying an individual scFv antibody (i.e. J43, J44, and J48) were identified as tumor necrosis factor alpha (TNF-α) binders. The current study aimed to produce previously identified anti-TNF-α scFv antibodies and to investigate their abilities to bind and inhibit TNF-α biological effect. The estimated free energy of folding determined using spectrofluorimetry method for the prepared scFv proteins was in the range of 6.35-12.45 kJ mol-1 indicating their proper folding in the solution. In ELISA experiment, the produced scFvs showed an appropriate affinity towards TNF-α with Kd values in the range of 0.5-2.18 µM. They also inhibited the TNF-α-induced cytotoxicity on L929 cells with sub-micromolar IC50 values (0.12 and 0.73 µM for J44 and J48, respectively). Molecular docking studies showed that J44 could mimic adalimumab interactions with TNF-α, confirming its relatively high TNF-α inhibitory effect compared to J43 and J48. It seems that the findings in the current study can be useful for designing more potent anti-TNF-α antibodies.

Identifying key interactions stabilizing DOF zinc finger-DNA complexes using in silico approaches.

DOF (DNA-binding with one finger) proteins, a family of DNA-binding transcription factors, are members of zinc fingers unique to plants. They are associated with different plant specific phenomena including germination, dormancy, light and defense responses. Until now, there is no report of experimentally solved structure for DOF proteins, making empirical investigation of DOF-DNA interaction more challenging. It has been shown that comparative modeling can be used to reliably predict the three-dimensional (3D) model of structurally unknown proteins whenever a suitable template is available. Furthermore, current molecular mechanics force fields allow prediction of interaction energies for macromolecular complexes. Therefore, the approaches considered in this work were to model the 3D structures of DOF zinc fingers (ZFs) from Arabidopsis thaliana complexed with DNA molecule, to calculate their binding energies, to identify key interactions established between ZFs and DNA, and to determine the impact of the different interactions on the binding energies. The results were used to predict the binding affinities for the novel designed ZFs and may be used in engineering DNA binding proteins.

In vitro and in silico studies to explore structural features of flavonoids for aldehyde oxidase inhibition.

Aldehyde oxidase (AO), an important enzyme in the biotransformation of drugs and xenobiotics, is inhibited by flavonoids. This enzyme can metabolize both aldehydes and N-heterocycles. In this work, a set of 15 flavonoids was assessed for inhibitory activity on the AO oxidation of vanillin as an aldehyde substrate. Spectrophotometrically determined IC50 values showed that myricetin, quercetin, and epicatechin were the most potent inhibitors. The results also revealed that the inhibition of vanillin oxidation by flavonoids was stronger than that of phenanthridine oxidation (an N-heterocyclic substrate) as reported previously. In order to investigate the important structural features responsible for the inhibitory effects of the studied flavonoids, a quantitative structure-activity relationship (QSAR) analysis was performed. This study showed that the size of the flavonoids was the most important factor inversely affecting their potencies. The QSAR model can be used more broadly to predict the AO inhibitory activity of flavonoid-like structures for application in food-drug and drug-drug interaction studies.

Key structural requirements of benzamide derivatives for histone deacetylase inhibition: design, synthesis and biological evaluation.

Background: Histone deacetylase inhibitors (HDACIs) are important as anticancer agents. Objective: This study aimed to investigate some key structural features of HDACIs via the design, synthesis and biological evaluation of novel benzamide-based derivatives. Methods: Novel structures, designed using a molecular modification approach, were synthesized and biologically evaluated. Results: The results indicated that a subset of molecules with CH3/NH2 at R2 position possess selective antiproliferative activity. However, only those with an NH2 group showed HDACI activity. Importantly, the shorter the molecule length, the stronger HDACI. Among all, 7j was the most potent HDAC1-3 inhibitor and antiproliferative compound. Conclusion: The results of the present investigation could provide valuable structural knowledge applicable for the development of the HDACIs and benzamide-based antiproliferative agents in the future.

[Box: see text].

Structure-based investigation of rat aldehyde oxidase inhibition by flavonoids.

1. Flavonoids are a group of polyphenolic plant metabolites most commonly known for their antioxidant activities. They also show inhibitory activities on molybdo-flavoenzymes family of enzymes which are involved in biotransformation of some exogenous and endogenous chemicals. Most notably, aldehyde oxidase (AO), a member of this family, is responsible for metabolism of some therapeutic agents. On the other hand, there are some therapeutics which inhibit AO. As flavonoids are ubiquitous in human diet and have potential to interact with AO, it is important to investigate their effects at the molecular details. 2. The inhibitory effects of 15 flavonoids on the activity of rat liver AO were assessed. Quantitative structure-activity relationship studies were performed using genetic algorithm coupled partial least square and stepwise multiple linear regression methods to elucidate the important structural properties responsible for the observed inhibitory effects. To further understand the mode of interaction between these flavonoids and AO, a homology model of the enzyme was built and flavonoids were docked into its active site. The most important amino acids involved in the interactions were identified. 3. Quercetin, myricetin and genistein were the most potent inhibitors establishing favorable interactions with the enzyme. However, the glycosylated flavonoids showed relatively weaker inhibition which may be attributed to their hindered binding into the active site of AO by bulky sugar groups.

6D-QSAR for predicting biological activity of human aldose reductase inhibitors using quasar receptor surface modeling.

The application of QSAR analysis dates back a half-century ago and is currently continuously employed in any rational drug design. The multi-dimensional QSAR modeling can be a promising tool for researchers to develop reliable predictive QSAR models for designing novel compounds. In the present work, we studied inhibitors of human aldose reductase (AR) to generate multi-dimensional QSAR models using 3D- and 6D-QSAR methods. For this purpose, Pentacle and Quasar's programs were used to produce the QSAR models using corresponding dissociation constant (Kd) values. By inspecting the performance metrics of the generated models, we achieved similar results with comparable internal validation statistics. However, considering the externally validated values, 6D-QSAR models provide significantly better prediction of endpoint values. The obtained results suggest that the higher the dimension of the QSAR model, the higher the performance of the generated model. However, more studies are required to verify these outcomes.

Development of novel ligands against SARS-CoV-2 Mpro enzyme: an in silico and in vitro Study.

BACKGROUND: Despite tremendous efforts made by scientific community during the outbreak of COVID-19 pandemic, this disease still remains as a public health concern. Although different types of vaccines were globally used to reduce the mortality, emergence of new variants of SARS-CoV-2 is a challenging issue in COVID-19 pharmacotherapy. In this context, target therapy of SARS-CoV-2 by small ligands is a promising strategy. METHODS: In this investigation, we applied ligand-based virtual screening for finding novel molecules based on nirmatrelvir structure. Various criteria including drug-likeness, ADME, and toxicity properties were applied for filtering the compounds. The selected candidate molecules were subjected to molecular docking and dynamics simulation for predicting the binding mode and binding free energy, respectively. Then the molecules were experimentally evaluated in terms of antiviral activity against SARS-CoV-2 and toxicity assessment. RESULTS: The results demonstrated that the identified compounds showed inhibitory activity towards SARS-CoV-2 Mpro . CONCLUSION: In summary, the introduced compounds may provide novel scaffold for further structural modification and optimization with improved anti SARS-CoV-2 Mpro activity.

Expression and Biological Evaluation of an Engineered Recombinant L-asparaginase Designed by In Silico Method Based on Sequence of the Enzyme from Escherichia coli.

Purpose: Medical usage of L-asparaginase (ASNase), the first-line of acute lymphoblastic leukemia treatment, is linked to allergic responses and toxicities, which necessitates the development of new bio-better ASNases. The aim of the current study was in silico design of a novel ASNase with predicted improved enzymatic properties using strategies encompassing sequence-function analysis of known ASNase mutants. Additionally, current study aimed to show that the new enzyme is active. Methods: Based on 21 experimentally reported mutations for ASNase, a virtual library of mutated enzymes with all 7546 possible combinations of up to 4 mutations was generated. Three-dimensional models of proposed mutant enzymes were built and their in silico stabilities were calculated. The most promising mutant was selected for preparing a genetic construct suitable for expression of the designed ASNase in bacterial cells. Results: Computational study predicted that Y176F/S241C double mutation of Escherichia coli ASNase may increase its folding stability. The designed ASNase was expressed in two different E. coli strains (Origami B(DE3) and BL21(DE3)pLysS) and then the soluble fractions prepared from the cell lysates of the host cells were used in enzyme activity assay. Results showed that enzyme activity of soluble fraction from Origami (95.4 ± 7.5 IU/0.1 mL) was four times higher than that of soluble fraction from pLysS (25.8 ± 2.5 IU/0.1 mL). Conclusion: A novel functional double mutant ASNase with predicted improved enzymatic properties was designed and produced in E. coli. The results of the current study suggest a great commercial potential for the identified enzyme in pharmaceutical and industrial applications.

An alignment-independent three-dimensional quantitative structure-activity relationship study on ron receptor tyrosine kinase inhibitors.

Recepteur d'Origine Nantais known as RON is a member of the receptor tyrosine kinase (RTK) superfamily which has recently gained increasing attention as cancer target for therapeutic intervention. The aim of this work was to perform an alignment-independent three-dimensional quantitative structure-activity relationship (3D QSAR) study for a series of RON inhibitors. A 3D QSAR model based on GRid-INdependent Descriptors (GRIND) methodology was generated using a set of 19 compounds with RON inhibitory activities. The generated 3D QSAR model revealed the main structural features important in the potency of RON inhibitors. The results obtained from the presented study can be used in lead optimization projects for designing of novel compounds where inhibition of RON is needed.

The impact of simulation time in predicting binding free energies using end-point approaches.

The profound impact of in silico studies for a fast-paced drug discovery pipeline is undeniable for pharmaceutical community. The rational design of novel drug candidates necessitates considering optimization of their different aspects prior to synthesis and biological evaluations. The affinity prediction of small ligands to target of interest for rank-ordering the potential ligands is one of the most routinely used steps in the context of virtual screening. So, the end-point methods were employed for binding free energy estimation focusing on evaluating simulation time effect. Then, a set of human aldose reductase inhibitors were selected for molecular dynamics (MD)-based binding free energy calculations. A total of 100[Formula: see text]ns MD simulation time was conducted for the ligand-receptor complexes followed by prediction of binding free energies using MM/PB(GB)SA and LIE approaches under different simulation time. The results revealed that a maximum of 30[Formula: see text]ns simulation time is sufficient for determination of binding affinities inferred from steady trend of squared correlation values (R2) between experimental and predicted [Formula: see text]G as a function of MD simulation time. In conclusion, the MM/PB(GB)SA algorithms performed well in terms of binding affinity prediction compared to LIE approach. The results provide new insights for large-scale applications of such predictions in an affordable computational cost.

Development and Evaluation of Peptidomimetic Compounds against SARS-CoV-2 Spike Protein: An in silico and in vitro Study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) as global pandemic disease has been adversely affecting public health and social life with considerable loss of human life worldwide. Therefore, there is an urgent need for developing novel therapeutics to combat COVID-19. The causative agent of COVID-19 is SARS-CoV-2 which targets human angiotensin converting enzyme 2 (ACE2) as cellular receptor via its spike (S) protein. In this context, interfering with the binding of SARS-CoV-2 S protein to target molecules could provide a promising strategy to find novel therapeutic agents against SARS-CoV-2. The purpose of the current study was to identify potential peptidomimetics against S protein with a combination of structure-based virtual screening methods and in vitro assays. METHODS: The candidates were inspected in terms of ADME properties, drug-likeness, as well as toxicity profiles. Additionally, molecular docking and dynamics simulations were performed to predict binding of the studied ligands to spike protein. RESULTS: Biological evaluation of the compounds revealed that PM2 molecule exhibits some antiviral activity. CONCLUSION: In summary, this study highlights the importance of combining in silico and in vitro techniques in order to identify antiviral compound to tackle COVID-19 and presents a new scaffold that may be structurally optimized for improved antiviral activity.