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Novel inhibitors of epidermal growth factor receptor (EGFR)T790M/vascular endothelial growth factor receptor-2 (VEGFR-2) were synthesized based on the iodoquinazoline scaffold linked to different heteroaromatic, aromatic, and/or aliphatic moieties. The novel derivatives were in vitro examined for anticancer activities against A549, HCT116, michigan cancer foundation-7 (MCF-7), and HepG2 cells. Molecular modeling was applied to discover their orientation of binding with both VEGFR-2 and EGFR active sites. Compounds 8d, 8c, 6d, and 6c indicated the highest cytotoxicity with IC50 = 6.00, 6.90, 6.12 and 6.24 µM, 7.05, 7.35, 6.80, and 6.80 µM, 5.75, 7.50, 6.90, and 6.95 µM, and 6.55, 7.88, 7.44, and 7.10 µM against the A549, HepG2, HCT116, and MCF-7 cell lines, correspondingly. The cytotoxicity against normal VERO (normal african green monkey kidney cells) of the extremely active eight compounds 6a-d and 8a-d was evaluated. Our compounds exhibited low toxicity concerning normal VERO cells with IC50 = 45.66-51.83 µM. Furthermore, inhibition assays for both the EGFRT790M and VEGFR-2 enzymes were done for all compounds. Remarkable inhibition of EGFRT790M activity was achieved with compounds 6d, 8d, 6c, and 8c at IC50 = 0.35, 0.42, 0.48, and 0.50 µM correspondingly. Moreover, remarkable inhibition of VEGFR-2 activity was achieved with compounds 8d, 8c, 6d, and 6c at IC50 = 0.92, 0.95, 1.00, and 1.20 µM correspondingly. As planned, derivatives 6d, 8d, 6c, and 8c presented exceptional inhibition of both EGFRT790M/VEGFR-2 activities. Finally, in silico absorption, distribution, metabolism, excretion and toxicity (ADMET) studies were made for the highly active four compounds 6c, 6d, 8c, and 8d in comparison with erlotinib and sorafenib as reference standards.
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BACKGROUND: Drug discovery and development is the extremely costly and time-consuming process of identifying new molecules that can interact with a biomarker target to interrupt the disease pathway of interest. In addition to binding the target, a drug candidate needs to satisfy multiple properties affecting absorption, distribution, metabolism, excretion, and toxicity (ADMET). Artificial intelligence approaches provide an opportunity to improve each step of the drug discovery and development process, in which the first question faced by us is how a molecule can be informatively represented such that the in-silico solutions are optimized. RESULTS: This study introduces a novel hybrid SMILES-fragment tokenization method, coupled with two pre-training strategies, utilizing a Transformer-based model. We investigate the efficacy of hybrid tokenization in improving the performance of ADMET prediction tasks. Our approach leverages MTL-BERT, an encoder-only Transformer model that achieves state-of-the-art ADMET predictions, and contrasts the standard SMILES tokenization with our hybrid method across a spectrum of fragment library cutoffs. CONCLUSION: The findings reveal that while an excess of fragments can impede performance, using hybrid tokenization with high frequency fragments enhances results beyond the base SMILES tokenization. This advancement underscores the potential of integrating fragment- and character-level molecular features within the training of Transformer models for ADMET property prediction.
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Descoberta de Drogas , Descoberta de Drogas/métodos , Inteligência Artificial , Bibliotecas de Moléculas Pequenas/química , Bibliotecas de Moléculas Pequenas/farmacologia , Simulação por Computador , Preparações Farmacêuticas/metabolismo , Preparações Farmacêuticas/químicaRESUMO
Herein, we highlight the significance of molecular modeling approaches prior to in vitro and in vivo studies; particularly, in diseases with no recognized treatments such as neurological abnormalities. Alzheimer disease is a neurodegenerative disorder that causes irreversible cognitive decline. Toxicity and ADMET studies were conducted using the Qikprop platform in Maestro software and Discovery Studio 2.0, respectively, to select the promising skeletons from more than 45 reviewed compounds isolated from mushrooms in the last decade. Using rigid and flexible molecular docking approaches such as induced fit docking (IFD) in the binding sites of ß-secretase (BACE1) and acetylcholine esterase (ACHE), promising structures were screened through high precision molecular docking compared with standard drugs donepezil and (2E)-2-imino-3-methyl-5,5-diphenylimidazolidin-4-one (OKK) using Maestro and Cresset Flare platforms. Molecular interactions, binding distances, and RMSD values were measured to reveal key interactions at the binding sites of the two neurodegenerative enzymes. Analysis of IFD results revealed consistent bindings of dictyoquinazol A and gensetin I in the pocket of 4ey7 while inonophenol A, ganomycin, and fornicin fit quite well in 4dju demonstrating binding poses very close to native ligands at ACHE and BACE1. Respective key amino acid contacts manifested the least steric problems according to their Gibbs free binding energies, Glide XP scores, RMSD values, and molecular orientation respect to the key amino acids. Molecular dynamics simulations further confirmed our findings and prospected these compounds to show significant in vitro results in their future pharmacological studies.
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In this study, two new molecules were synthesized from the reaction of 2-methyl-1H-benzo[d]imidazole with aryl halides in the presence of a strong base. The structures newly of synthesized 1,2-disubstituted benzimidazole compounds were characterized using spectroscopic techniques (FT-IR, 1HNMR, 13CNMR) and chromatographic technique (LC/MS). For discovering an effective anticancer drug, the developed heterocyclic compounds were screened against three different human cancer cell lines (A549, DLD-1, and L929). The results demonstrated that of IC50 values of compound 2a were higher as compared to cisplatin for the A549 and DLD-1 cell lines. The frontier molecular orbital (FMO), and molecular electrostatic potential map (MEP) analyses were studied by using DFT (density functional theory) calculations at B3LYP/6-31G** level of theory. The molecular docking studies of the synthesized compound with lung cancer protein, PDB ID: 1M17, and colon cancer antigen proteins, PDB ID: 2HQ6 were performed to compare with experimental and theoretical data. Compound 2a had shown the best binding affinity with -6.6 kcal/mol. It was observed that the theoretical and experimental studies carried out supported each other.
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The sulfonamide Schiff base (C16H14N4O3S) was successfully synthesized and experimentally ascertained. The main purpose of this research is to investigate the geometry of the aforesaid molecule using both experimental and density functional theory (DFT) techniques and determine its drug likeness characteristics, docking ability as an insulysin inhibitor, and its NLO property. For the computational investigations the DFT approaches were utilized at the B3LYP level with the 6-311G+(d,p) basic set. The experimental results of the compound (such as FT-IR, UV-Vis, and 1H NMR) were compared with simulated data. The both results were well and consistent with previously related published data. The obtained spectral results confirm the formation of the Schiff base compound. Both π-π* and n-π* interactions were found in experimental and computational UV-Vis spectra, as well as in the natural bond orbital (NBO) study. The molecular, electronic, covalent, and non-covalent interactions were analyzed using DFT studies. Both experimental and simulation results revealed that the compound is successfully formed and relatively stable. The compound with a lower band gap showed high chemical reactivity. The medicinal characteristics of the compound were evaluated using in silico medicinal methods. The investigated compound was also followed Pfizer, Golden Triangle, GSK as well as Lipinski's rules. Therefore, the compound has more favorable absorption, distribution, metabolism, excretion, and toxicity (ADMET) profile and it can be used as non-toxic oral drug candidate. The compound was exhibited good insulysin inhibitory activity and it has almost eighteen times higher non-linear optical properties than urea and three times higher than potassium dihydrogen phosphate (KDP).
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Inflammation is one of the pertinent responses of the body, depending mainly on the process and factors involved in combating the oxidative species produced either by any infection or failure of the antioxidant pathways. In search of new compounds to exhibit antioxidant and anti-inflammatory activity here, we have successfully reported the synthesis of three novel compounds of Piperidin-4-one skeleton by adopting simple and convenient methods. Compound 1, (3, 3-dimethyl-2, 6-bis(3,4,5-trimethoxyphenyl) piperidin-4-one) was synthesized by one-pot Mannich condensation reaction having good yield (88 %). Furthermore in the next step highly functionalized imine derivatives, Compound 2 (3,3-dimethyl-2,6-bis (3,4,5-trimethoxyphenyl) piperidine-4-one) hydrazine carbothioamide) and Compound 3 (3,3-dimethyl-2,6-bis(3,4,5-trimethoxyphenyl) piperidin-4-one oxime) were prepared by the condensation reaction with thiosemicarbazide and hydroxylamine hydrochloride with compound 1, respectively. The structure of the compounds has been deduced by the combined use of modern spectroscopic and single crystal x-ray diffraction (XRD) techniques. in-silico ADMET studies predict pharmacokinetic properties and showed that compounds are non toxic on vital organs. The optimized geometry and reactivity parameters of compounds were further calculated based on the B3LYP/6-31G (d, p) density functional theory (DFT). The negative values of chemical potential follow the trend as 2 (-0.2101) > 3 (-0.2198) > 1(-0.2233) signifies that all compounds are reactive in nature as evident from in-vitro antioxidant and anti-inflammatory response were determined by using the DDPH assay and protein denaturation methods respectively. Compounds possess good radical scavenging activity having IC 50 values 30.392 µM (2), 37.802 (1) µM, and 72.285 (3) µM, and anti-inflammatory response in same manner indicating that 2 (71.3 %) is more active than compound 1 (43.5 %) and 3 (39.3 %) marking them as a potential antioxidant and anti-inflammatory agents.
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INTRODUCTION: The drug discovery and development domain has witnessed remarkable advancements due to the integration of computational methods, particularly Computer-Aided Drug Design (CADD). Discovering and creating new drugs involves structural modifications to enhance their effectiveness and physical attributes. This frequently includes employing semisynthetic techniques to investigate structure-activity relationships thoroughly. Noticeable progress in molecular biology, computational chemistry, combinatorial chemistry, and highthroughput screening is steering transformative changes in the pharmaceutical industry. BACKGROUND: High blood pressure or hypertension, a significant health issue, elevates the chances of heart, kidney, and brain complications, among other health concerns. It's a leading cause of untimely mortality globally. Therefore, it is important to search for new antihypertensive compounds that have fewer side effects and higher therapeutic activity. METHODS: Following molecular docking of the pyridazine derivatives, compounds were subjected to In-silico ADMET analysis. Subsequently, a low molecular weight compound was synthesized. Among the synthesized compounds characterization procedures include TLC, FT-IR, 1HNMR, and LC-MS techniques. RESULT: Compound 8 exhibited the most favorable molecular docking results with alpha A1 and beta 1 adrenergic receptors. Compounds 3, 5, and 6 fulfilled the essential ADMET criteria. Subsequently, Compounds 3, 4, and 5 underwent additional synthesis and characterization procedures, including TLC, FT-IR, 1H-NMR, and LC-MS techniques. CONCLUSION: Similar behavior was observed in compounds 6, 8, 10, and 11, all violating Pfizer's 3/75 rules in terms of TPAS. Hydrazinolysis of these b-benzoyl propionic acids produced pyridazine, which was utilized in synthesizing pyridazine derivatives. TLC, FT-IR, 1HNMR, and LCMS have characterized the compounds.
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INTRODUCTION: Diabetic retinopathy is the major cause of vision failure in diabetic patients, and the current treatment involves the practice of glucocorticoids or VEGF antagonists that are "off-label". A few small organic molecules against DR were discovered many years ago. Nutraceuticals are naturally available functional foods that endorse different health benefits, including vitamins, antioxidants, minerals, fatty acids, and amino acids that can defer the development of some diseases. METHODS: Numerous studies reported that nutraceuticals encourage multiple therapeutic benefits and provide protection against various diseases. In diabetes, nutraceuticals contribute to improving insulin sensitivity, metabolism regulation, and lower hyperglycemia. The major aim of this study is to discover the most active drug from natural or plant sources. In this work, 42 phytochemical constituents from 4 kinds of plants were docked with the C4 target of diabetic retinopathy by an in silico molecular docking study. RESULTS: According to the binding energy, all the phytoconstituents possessed good to high attraction towards the target, and 6 phytochemicals, such as terchebulin, punicalagin, chebulagic acid, casuarinin, punicalin, and pedunculagin, disclosed superior binding energy towards the target than standard ruboxistaurin via the interactions of conventional hydrogen bonding, pi-alkyl interactions, etc. Molecular dynamic simulation studies further established the stability of the phytoconstituents, and ADMET studies proved the safety profile of these phytoconstituents. CONCLUSION: Hence, the current study suggested that the phytochemicals from various herbs inhibit the C4 target of diabetic retinopathy and can be utilized as lead compounds to develop analogs or repurposed for the treatment of DR.
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Owning to the increasing body of evidence about the ubiquitous exposure to endocrine disruptors (EDCs), particularly bisphenol A (BPA), and associated health effects, BPA has been gradually substituted with insufficiently tested structural analogs. The unmanaged excessive use of antimicrobial agents such as triclosan (TCS) during the COVID-19 outbreak has also raised concerns about its possible interferences with hormonal functions. The similarity of BPA and estradiol, as well as TCS and non-steroidal estrogens, imply that endocrine-disrupting properties of their analogs could be predicted based on the chemical structure. Hence, this study aimed to evaluate the endocrine-disrupting potential of BPA substitutes as well as TCS derivatives and degradation/biotransformation metabolites, in comparison to BPA and TCS based on their molecular properties, computational predictions of pharmacokinetics and binding affinities to nuclear receptors. Based on the obtained results several under-researched BPA analogs exhibited higher binding affinities for nuclear receptors than BPA. Notable analogs included compounds detected in receipts (DD-70, BTUM-70, TGSA, and BisOPP-A), along with a flame retardant, BDP. The possible health hazards linked to exposure to TCS and its mono-hydroxylated metabolites were also found. Further research is needed in order to elucidate the health impacts of these compounds and promote better regulation practices.
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Lung cancer ranks as the 2nd most common cancer globally. It's the most prevalent cancer in men and the 2nd most common in women. The prominent events in EGFR-mutated non-small-cell lung cancer (NSCLC) include the emergence of the L858R mutation within EGFR exon 21. Despite the promising efficacy of EGFR inhibitors in managing lung cancer, the development of acquired resistance poses a significant hurdle. In the current investigation, we focused on the screening of two phytochemicals, namely Dehydrocostus lactone and Mokkolactone, derived from the Saussurea lappa plant, as potential inhibitors targeting EGFR L858R mutant lung cancer. The chloroform and ethanol extract of the plant demonstrated anti-proliferative activity through the Resazurin chemosensitivity assay, exhibiting an IC50 value of 37.90 ± 0.29 µg/ml with selectivity index 2.4. Through a GC-MS study, we identified 11 phytochemicals for further insilico analysis. These compounds underwent ADMET assessment followed by drug likeliness analysis before being subjected to molecular docking against EGFR L858R, identified through protein-protein interaction network analysis. All phytochemicals exhibited binding energy scores ranging from -6.9 to -8.1 kcal/mol. Dehydrocostus lactone and Mokkolactone were specifically identified for their binding profile. Findings from 100 ns molecular dynamics simulations demonstrated their enhanced stability compared to the reference ligand DJK. This was evident in the root mean square deviation (RMSD) values, ranging from 0.23 ± 0.01 nm to 0.30 ± 0.05 nm, the radius of gyration values, from 1.71 ± 0.01 nm to 1.72 ± 0.01 nm, and the solvent accessible surface area values, from 155.39 ± 2.40 nm2 to 159.32 ± 2.14 nm2. Additionally, favourable characteristics were observed in terms of hydrogen bonding, principal component analysis, and free energy landscape analysis. Examination of their electronic structure via density functional theory revealed efficient properties, with the highest occupied molecular orbital-least unoccupied molecular orbital energy gap values ranging from -3.984 eV to -6.547 eV. Further, in vivo analysis is required to gain a more comprehensive understanding and efficacy of these identified phytochemicals against lung cancer.
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The Nipah virus (NiV) belongs to the Henipavirus genus is a serious public health concern causing numerous outbreaks with higher fatality rate. Unfortunately, there is no effective medication available for NiV. To investigate possible inhibitors of NiV infection, we used in silico techniques to discover treatment candidates in this work. As there are not any approved treatments for NiV infection, the NiV-enveloped attachment glycoprotein was set as target for our study, which is responsible for binding to and entering host cells. Our in silico drug design approach included molecular docking, post-docking molecular mechanism generalised born surface area (MM-GBSA), absorption, distribution, metabolism, excretion/toxicity (ADME/T), and molecular dynamics (MD) simulations. We retrieved 418 phytochemicals associated with the neem plant (Azadirachta indica) from the IMPPAT database, and molecular docking was used to ascertain the compounds' binding strength. The top 3 phytochemicals with binding affinities of -7.118, -7.074, and -6.894 kcal/mol for CIDs 5280343, 9064, and 5280863, respectively, were selected for additional study based on molecular docking. The post-docking MM-GBSA of those 3 compounds was -47.56, -47.3, and -43.15 kcal/mol, respectively. As evidence of their efficacy and safety, all the chosen drugs had favorable toxicological and pharmacokinetic (Pk) qualities. We also performed MD simulations to confirm the stability of the ligand-protein complex structures and determine whether the selected compounds are stable at the protein binding site. All 3 phytochemicals, Quercetin (CID: 5280343), Cianidanol (CID: 9064), and Kaempferol (CID: 5280863), appeared to have outstanding binding stability to the target protein than control ribavirin, according to the molecular docking, MM-GBSA, and MD simulation outcomes. Overall, this work offers a viable approach to developing novel medications for treating NiV infection.
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An increasing number of drugs introduced to the market and numerous repositories of compounds with confirmed activity have posed the need to revalidate the state-of-the-art rules that determine the ranges of properties the compounds should possess to become future drugs. In this study, we designed a series of two chemotypes of aryl-piperazine hydantoin ligands of 5-HT7R, an attractive target in search for innovative CNS drugs, with higher molecular weight (close to or over 500). Consequently, 14 new compounds were synthesised and screened for their receptor activity accompanied by extensive docking studies to evaluate the observed structure-activity/properties relationships. The ADMET characterisation in terms of the biological membrane permeability, metabolic stability, hepatotoxicity, cardiotoxicity, and protein plasma binding of the obtained compounds was carried out in vitro. The outcome of these studies constituted the basis for the comprehensive challenge of computational tools for ADMET properties prediction. All the compounds possessed high affinity to the 5-HT7R (Ki below 250 nM for all analysed structures) with good selectivity over 5-HT6R and varying affinity towards 5-HT2AR, 5-HT1AR and D2R. For the best compounds of this study, the expression profile of genes associated with neurodegeneration, anti-oxidant response and anti-inflammatory function was determined, and the survival of the cells (SH-SY5Y as an in vitro model of Alzheimer's disease) was evaluated. One 5-HT7R agent (32) was characterised by a very promising ADMET profile, i.e. good membrane permeability, low hepatotoxicity and cardiotoxicity, and high metabolic stability with the simultaneous high rate of plasma protein binding and high selectivity over other GPCRs considered, together with satisfying gene expression profile modulations and neural cell survival. Such encouraging properties make it a good candidate for further testing and optimisation as a potential agent in the treatment of CNS-related disorders.
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INTRODUCTION: This research aims to create a gel formulation of Brassica juncea leaf extract and assess its anti-inflammatory properties using an in silico study. The anti-inflamma-tory activity has been compared with Diclofenac molecules in PDB id: 4Z69. Further, the Ab-sorption, Distribution, Metabolism, Excretion, and Toxicity analysis has been performed to en-sure the therapeutic potential and safety of the drug development process. The Quality by De-sign tool has been applied to optimize formulation development. METHODS: The extracted gel is characterized by performing Fourier transformer infrared, zeta potential, particle size, Scanning Electron Microscope, and entrapment efficiency. Further, the formulation is evaluated by examining its viscosity, spreadability, and pH measurement. An In-vitro study of all nine extract suspensions was conducted to determine the drug contents at 276 nm. RESULTS: The optimized suspension has shown the maximum percentage of drug release (82%) in 10 hours of study. Animal study for anti-inflammatory activity was performed, and results of all five groups of animals compared the % inhibition of paw edema at three hours; gel (56.70 %), standard (47.86 %), and (39.72 %) were found. CONCLUSION: The research could conclude that the anti-inflammatory activity of gel formulation is high compared to extract, and a molecular docking study validates the anti-inflammatory ther-apeutic effects. ADMET analysis ensures the therapeutic effects and their safety.
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Bacteroides fragilis, a gram negative and obligate anaerobe bacterium, is a member of normal gut microbiota and facilitates many essential roles being performed in human body in normal circumstances specifically in Gastrointestinal or GI tract. Sometimes, due to genetics, epigenetics, and environmental factors, Bacteroides fragilis and their protein(s) start interacting with intestinal epithelium thus damaging the lining leading to colorectal cancers (CRC). To identify these protein(s), we incorporated a novel subtractive proteomics approach in the study. Metalloproteinase II (MPII), a Bacteroides fragilis toxin (bft), was investigated for its virulence and unique pathways to demonstrate its specificity and uniqueness in pathogenicity followed by molecular docking against a set of small drug-like natural molecules to discover potential inhibitors against the toxin. All these identified inhibitor-like molecules were analyzed for their ADMET calculations and detailed physiochemical properties to predict their druggability, GI absorption, blood brain barrier and skin permeation, and others. Resultantly, a total of ten compounds with the least binding energies were obtained and were subjected to protein-compound interaction analysis. Interaction analysis revealed the most common ligand-interacting residues in MPII are His 345, Glu 346, His 339, Gly 310, Tyr 341, Pro 340, Asp 187, Phe 309, Lys 307, Ile 185, Thr 308, and Pro 184. Therefore, top three compounds complexed with MPII having best binding energies were selected in order to analyze their trajectories. RMSD, RMSF, Rg and MMPBSA analysis revealed that all compounds showed good binding and keeping the complex stable and compact throughout the simulation time in addition to all properties and qualities of being a potential inhibitor against MPII.
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Aim: Developing potent medicinal alternates for tuberculosis (TB) is highly desirable due to the advent of drug-resistant lethal TB strains. Methods & results: Novel indole-isoniazid integrates have been synthesized with promising antimycobacterial action against the H37Rv strain, and the nitro analogs 4e and 4j show the highest efficacy with a minimum inhibitory concentration of 1.25 µg/ml. The molecular docking studies against InhA support the experimental findings. Indole conjugates display remarkable radical quenching efficiency, and compounds 4e and 4j demonstrate maximum IC50 values of 50.19 and 52.45 µg/ml, respectively. Pharmacokinetic analysis anticipated appreciable druggability for the title compounds. Conclusion: The notable bioaction of the indole-isoniazid templates projects them as potential lead in developing anti-TB medications with synergetic antioxidant action.
[Box: see text].
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Diabetic vascular complication including diabetic retinopathy is a major morbidity in Saudia Arabia. The polyol pathway aka aldose reductase (AR) pathway has gained significant association with diabetic retinopathy with regard to chronically enhanced glucose metabolism. Considerable research has been put forth to develop more effective therapeutic strategies to overcome the overwhelming challenges of vascular complications associated with diabetes. In this regard, constituents of Cichorium intybus can offer strong AR inhibitory potential because of their strong antidiabetic properties. Therefore, aim of this study was to investigate the AR inhibitory as well as antiglycation potential of C. intybus extract/compounds. The preliminary in vitro results showed that methanolic extract of C. intybus could significantly inhibit AR enzyme and advanced glycation end product formation. Eventually, based on previous studies and reviews, we selected one hundred fifteen C. intybus root constituents and screened them through Lipinski's rule of five and ADMET analysis. Later, after molecular docking analysis of eight compounds, five best were selected for molecular dynamics simulation to deduce their binding affinity with the AR enzyme. Finally, three out of five compounds were further tested in vitro for their AR inhibitory potential and antiglycation properties. Enzyme assay and kinetic studies showed that all the three tested compounds were having potent AR inhibitory properties, although to a lesser extent than ellagic acid and tolrestat. Similarly, kaempferol showed strong antiglycation property equivalent to ellagic acid, but greater than aminoguanidine. Intriguingly, significant reduction in sorbitol accumulation in RBCs by the tested compounds substantiated strong AR inhibition by these compounds. Moreover, decrease in sorbitol accumulation under high glucose environment also signifies the potential application of these compounds in diabetic retinopathy and other vascular complications. Thus, in sum, the in silico and in vitro studies combinedly showed that C. intybus root is a treasure for therapeutic compounds and can be explored further for drug development against diabetic retinopathy.
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Cystic Fibrosis Transmembrane Regulator (CFTR) is a significant protein that is responsible for the movement of ions across cell membranes. The cystic fibrosis (CF) occur due to the mutations in the CFTR gene as it produces the dysfunctional CFTR protein. The sequence of CFTR protein as a target structure was retrieved from UniProt and PDB database. The ligands selection was performed through virtual screening and top 3 ligands choose out of 65 ligands silibinins, curcumin, demethoxycurcumin were selected with a reference drug Trikafta (R*). According to docking, ADMET analyses, the natural ligands (Silibinins and Curcumin) displayed best binding energy, pharmacokinetic and free toxicity than other natural compounds and reference drug (R*). An MD simulation for 200 ns was also established to ensure that natural ligands (Silibinins and Curcumin) attached to the target protein favorably and dynamically, and that protein-ligand complex stability was maintained. It is concluded that silibinins and curcumins have a better capacity to decrease the effect of mutant CFTR protein through improved trafficking and the restoration of original function. In conclusion, in silico studies demonstrate the potential of silibinins and curcumin as therapeutic agents for cystic fibrosis, particularly for the D614G mutated protein. Their ability to increase CFTR function while reducing cellular stress and inflammation, together with their favorable safety profile and accessibility could make them valuable additions to cystic fibrosis treatment options. Further experimental and clinical validation will be required to fully realize their potential and include them into effective therapy regimens.
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Plants are a treasure trove of bioactive compounds. Kedrostis foetidissima (Jacq.) Cogn. has many important phytoconstituents like cucurbitacins, rutin, and quercitin compounds. Among these compounds, Quercetin-3-O- Rhamnoside (1) has antioxidant, anti-inflammatory, anticancer properties. Rutin (2) has anti-inflammatory, antioxidant, anti-diabetic, anti-microbial, antiviral properties, 7, 10-Hexa decadienoic acid methyl ester (3) has anti-inflammatory, antioxidant, hypocholesterolemia and anticancer activities. Docosanoic acid (4) has antioxidant, α-Glucosidase inhibitory activity. 3,7,11,15-Tetra methyl hexa decan-1-ol (5) has antiviral properties. Cucurbitacin-B (6) has antipyretic, analgesic, anti-inflammatory, antimicrobial, and antitumor activities. Performance of experimental studies on phytochemicals become more difficult as the availability of compounds in small quantities, hence the computational methods becomes important for drug discovery. Based on their biological activity, compounds 1-6 were tested for in silico ADMET (absorption, distribution, metabolism, excretion, and toxicity) profiling and drug-likeness properties using the Swiss ADME online web server and the pkCSM server. All the studied compounds obey Lipinski's rule of five except compounds 1 and 2 with two and three violations each. The entire selected compounds have a good bioavailability score in the recommended range of 0 to 1. Compound 4 has high (0.85) and compounds 1 and 2 have low (0.17) oral bioavailability scores. All the selected compounds from Kedrostis foetidissima have strong pharmacological activities. Supporting this, the selected plant methanol extracts of leaf, stem callus, and tuber have shown well in vitro antibacterial activity against Bacillus subtilis, Escherichia coli, and Proteus vulgaris. Therefore, these compounds may be developed into drug molecules with additional clinical research.
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The total synthesis of two new marine natural products, (±)-marinoaziridine B 7 and (±)-N-methyl marinoaziridine A 8, was accomplished. The (±)-marinoaziridine 7 was prepared in a six-step linear sequence with a 2% overall yield. The key steps in our strategy were the preparation of the chiral epoxide (±)-5 using the Johnson Corey Chaykovsky reaction, followed by the ring-opening reaction and the Staudinger reaction. The N,N-dimethylation of compound (±)-7 gives (±)-N-methyl marinoaziridine A 8. The NMR spectra of synthetized (±)-marinoaziridine B 7 and isolated natural product did not match. The compounds are biologically characterized using relevant in silico, in vitro and in vivo methods. In silico ADMET and bioactivity profiling predicted toxic and neuromodulatory effects. In vitro screening by MTT assay on three cell lines (MCF-7, H-460, HEK293T) showed that both compounds exhibited moderate to strong antiproliferative and cytotoxic effects. Antimicrobial tests on bacterial cultures of Escherichia coli and Staphylococcus aureus demonstrated the dose-dependent inhibition of the growth of both bacteria. In vivo toxicological tests were performed on zebrafish Danio rerio and showed a significant reduction of zebrafish mortality due to N-methylation in (±)-8.
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Aziridinas , Staphylococcus aureus , Humanos , Aziridinas/farmacologia , Aziridinas/química , Aziridinas/síntese química , Animais , Staphylococcus aureus/efeitos dos fármacos , Células HEK293 , Antibacterianos/farmacologia , Antibacterianos/síntese química , Antibacterianos/química , Escherichia coli/efeitos dos fármacos , Peixe-Zebra , Células MCF-7 , Testes de Sensibilidade Microbiana , Produtos Biológicos/farmacologia , Produtos Biológicos/química , Produtos Biológicos/síntese química , Linhagem Celular Tumoral , Antineoplásicos/farmacologia , Antineoplásicos/síntese química , Antineoplásicos/química , Proliferação de Células/efeitos dos fármacosRESUMO
Acetylcholinesterase (AChE) is one of the main drug targets for treating Alzheimer's disease. This current study relies on multiple molecular modeling approaches to develop new potent inhibitors of AChE. We explored a 2D QSAR study using the statistical method of multiple linear regression based on a set of substituted 5-phenyl-1,3,4-oxadiazole and N-benzylpiperidine analogs, which were recently synthesized and proved their inhibitory activities against acetylcholinesterase (AChE). The molecular descriptors, polar surface area, dipole moment, and molecular weight are the key structural properties governing AChE inhibition activity. The MLR model was selected based on its statistical parameters: R2 = 0.701, R2test = 0.76, Q2CV = 0.638, and RMSE = 0.336, demonstrating its predictive reliability. Randomization tests, VIF tests, and applicability domain tests were adopted to verify the model's robustness. As a result, 11 new molecules were designed with higher anti-Alzheimer's activities than the model molecule. We demonstrated their improved pharmacokinetic properties through an in silico ADMET study. A molecular docking study was conducted to explore their AChE inhibition mechanisms and binding affinities in the active site. The binding scores of compounds M1, M2, and M6 were (-12.6 kcal/mol), (-13 kcal/mol), and (-12.4 kcal/mol), respectively, which are higher than the standard inhibitor Donepezil with a binding score of (-10.8 kcal/mol). Molecular dynamics simulations over 100 ns were used to validate the molecular docking results, indicating that compounds M1 and M2 remain stable in the active site, confirming their potential as promising anti-AChE inhibitors.