Identification of Novel Inhibitors for ERα Target of Breast Cancer By In Silico Approach.

BACKGROUND: Estrogen alpha has been recognized as a perilous factor in breast cancer cell proliferation and has been proficiently treated in breast cancer chemotherapy with the development of selective estrogen receptor modulators (SERMs). OBJECTIVES: The major aim of this study was to identify the potential inhibitors against the most influential target ERα receptor by in silico studies of 115 phytochemicals from 17 medicinal plants using in silico molecular docking studies. METHODS: The molecular docking investigation was carried out by a genetic algorithm using the Auto Dock Vina program, and the validation of docking was also performed using molecular dynamic (MD) simulation by the Desmond tool of Schrödinger molecular modeling. The ADME( T) studies were performed by SWISS ADME and ProTox-II. RESULTS: The top ten highest binding energy phytochemicals identified were amyrin acetate (- 10.7 kcal/mol), uscharine (-10.5 kcal/mol), voruscharin (-10.0 kcal/mol), cyclitols (-10.0 kcal/mol), taraxeryl acetate (-9.9 kcal/mol), amyrin (-9.9 kcal/mol), barringtogenol C (-9.9 kcal/mol), calactin (-9.9 kcal/mol), 3-beta taraxerol (-9.8 kcal/mol), and calotoxin (-9.8 kcal/mol). A molecular docking study revealed that these phytochemical constituents showed higher binding affinity compared to the reference standard tamoxifen (-6.6 kcal/mol) towards the target protein ERα. The results of MD studies showed that all four tested compounds possess comparatively stable ligand-protein complexes with ERα target as compared to the tamoxifen- ERα complex. CONCLUSION: Among the ten compounds, phytochemical amyrin acetate (triterpenoids) formed a more stable complex as well as exhibited greater binding affinity than standard tamoxifen. ADMET studies for the top ten phytochemicals showed a good safety profile. Additionally, these compounds are being reported for the first time in this study as possible inhibitors of ERα for the treatment of breast cancer by adopting the concept of drug repurposing. Hence, these phytochemicals can be further studied and can be used as a parent core molecule to develop novel lead molecules for breast cancer therapy.

Imidazole-thiadiazole hybrids: A multitarget de novo drug design approach, in vitro evaluation, ADME/T, and in silico studies.

A library of imidazole-thiadiazole compounds (1-24) was synthesized to explore their therapeutic applications. The compounds were subjected to meticulous in vitro evaluation against α-glucosidase, α-amylase, acetylcholinesterase (AChE), and butylcholinesterase (BChE) enzymes. Compounds were also investigated for antioxidant activities using cupric reducing antioxidant capacity (CUPRAC), ferric reducing antioxidant power (FRAP), and 1,1-diphenyl-2-picrylhydrazyl (DPPH) assays. Derivatives 5-7, 9-11, 18, and 19 displayed potent inhibitory activities with IC50 values of 1.4 ± 0.01 to 13.6 ± 0.01 and 0.9 ± 0.01 to 12.8 ± 0.02 µM against α-glucosidase, and α-amylase enzymes, respectively, compared to the standard acarbose (IC50 = 14.8 ± 0.01 µM). Compounds 11-13, 16, 20, and 21 exhibited potent activity IC50 = 8.6 ± 0.02 to 34.7 ± 0.03 µM against AChE enzyme, compared to donepezil chloride (IC50 = 39.2 ± 0.05 µM). Compound 21 demonstrated comparable inhibition IC50 = 45.1 ± 0.09 µM against BChE, compared to donepezil chloride (IC50 = 44.2 ± 0.05 µM). All compounds also demonstrated excellent antioxidant activities via CUPRAC, FRAP, and DPPH methods. Complementing the experimental studies, extensive kinetics, ADME/T, and molecular docking analysis were also conducted to unravel the pharmacokinetics and safety profiles of the designed compounds. These studies supported the experimental findings and facilitated the prioritization of hit candidates for subsequent stages of drug development.

Target prediction and potential application of dihydroartemisinin on hepatocarcinoma treatment.

With high incidence of hepatocarcinoma and limited effective treatments, most patients suffer in pain. Antitumor drugs are single-targeted, toxicity, causing adverse side effects and resistance. Dihydroartemisinin (DHA) inhibits tumor through multiple mechanisms effectively. This study explores and evaluates safety and potential mechanism of DHA towards human hepatocarcinoma based on network pharmacology in a comprehensive way. Adsorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of DHA were evaluated with pkCSM, SwissADME, and ADMETlab. Potential targets of DHA were obtained from SwissTargetPrediction, Drugbank, TargetNET, and PharmMapper. Target gene of hepatocarcinoma was obtained from OMIM, GeneCards, and DisGeNET. Overlapping targets and hub genes were identified and analyzed for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Reactome pathway. Molecular docking was utilized to investigate the interactions sites and hydrogen bonds. Cell counting kit-8 (CCK8), wound healing, invasion, and migration assays on HepG2 and SNU387 cell proved DHA inhibits malignant biological features of hepatocarcinoma cell. DHA is safe and desirable for clinical application. A total of 131 overlapping targets were identified. Biofunction analysis showed targets were involved in kinase activity, protein phosphorylation, intracellular reception, signal transduction, transcriptome dysregulation, PPAR pathway, and JAK-STAT signaling axis. Top 9 hub genes were obtained using MCC (Maximal Clique Centrality) algorithm, namely CDK1, CCNA2, CCNB1, CCNB2, KIF11, CHEK1, TYMS, AURKA, and TOP2A. Molecular docking suggests that all hub genes form a stable interaction with DHA for optimal binding energy were all less than - 5 kcal/mol. Dihydroartemisinin might be a potent and safe anticarcinogen based on its biological safety and effective therapeutic effect.

In silico study to identify novel NEK7 inhibitors from natural sources by a combination strategy.

Cancer poses a significant global health challenge and significantly contributes to mortality. NEK7, related to the NIMA protein kinase family, plays a crucial role in spindle assembly and cell division. The dysregulation of NEK7 is closely linked to the onset and progression of various cancers, especially colon and breast cancer, making it a promising target for cancer therapy. Nevertheless, the shortage of high-quality NEK7 inhibitors highlights the need for new therapeutic strategies. In this study, we utilized a multidisciplinary approach, including virtual screening, molecular docking, pharmacokinetics, molecular dynamics simulations (MDs), and MM/PBSA calculations, to evaluate natural compounds as NEK7 inhibitors comprehensively. Through various docking strategies, we identified three natural compounds: (-)-balanol, digallic acid, and scutellarin. Molecular docking revealed significant interactions at residues such as GLU112 and ALA114, with docking scores of -15.054, -13.059, and -11.547 kcal/mol, respectively, highlighting their potential as NEK7 inhibitors. MDs confirmed the stability of these compounds at the NEK7-binding site. Hydrogen bond analysis during simulations revealed consistent interactions, supporting their strong binding capacity. MM/PBSA analysis identified other crucial amino acids contributing to binding affinity, including ILE20, VAL28, ILE75, LEU93, ALA94, LYS143, PHE148, LEU160, and THR161, crucial for stabilizing the complex. This research demonstrated that these compounds exceeded dabrafenib in binding energy, according to MM/PBSA calculations, underscoring their effectiveness as NEK7 inhibitors. ADME/T predictions showed lower oral toxicity for these compounds, suggesting their potential for further development. This study highlights the promise of these natural compounds as bases for creating more potent derivatives with significant biological activities, paving the way for future experimental validation.

Aromatase inhibitors identified from Saraca asoca to treat infertility in women with polycystic ovary syndrome via in silico and in vivo studies.

Polycystic ovary syndrome (PCOS) is a widely occurring metabolic disorder causing infertility in 70%-80% of the affected women. Saraca asoca, an ancient medicinal herb, has been shown to have therapeutic effects against infertility and hormonal imbalance in women. This study was aimed to identify new aromatase inhibitors from S. asoca as an alternative to the commercially available ones via in silico and in vivo approaches. For this, 10 previously reported flavonoids from S. asoca were chosen and the pharmacodynamic and pharmacokinetic properties were predicted using tools like Autodock Vina, GROMACS, Gaussian and ADMETLab. Of the 10, procyanidin B2 and luteolin showed better interaction with higher binding energy when docked against aromatase (3S79) as compared to the commercial inhibitor letrozole. These two compounds showed higher stability in molecular dynamic simulations performed for 100 ns. Molecular mechanics Poisson-Boltzmann surface analysis indicated that these compounds have binding free energy similar to the commercial inhibitor, highlighting their great affinity for aromatase. Density functional theory analysis revealed that both compounds have a good energy gap, and ADMET prediction exhibited the drug-likeness of the two compounds. A dose-dependent administration of these two compounds on zebrafish revealed that both the compounds, at a lower concentration of 50 µg/ml, significantly reduced the aromatase concentration in the ovarian tissues as compared to the untreated control. Collectively, the in silico and in vivo findings recommend that procyanidin B2 and luteolin could be used as potential aromatase inhibitors for overcoming infertility in PCOS patients with estrogen dominance.Communicated by Ramaswamy H. Sarma.

Discovery of tricyclic PARP7 inhibitors with high potency, selectivity, and oral bioavailability.

PARP7 has been recently identified as an effective drug target due to its specific role in tumor generation and immune function recovery. Herin, we report the discovery of compound 8, which contained a tricyclic fused ring, as a highly selective PARP7 inhibitor against other PARPs. In particular, compound 8 strongly inhibits PARP7 with an IC50 of 0.11 nM, and suppresses the proliferation of NCI-H1373 lung cancer cells with an IC50 of 2.5 nM. Compound 8 exhibits a favorable pharmacokinetic profile with a bioavailability of 104 % in mice, and 78 % in dogs. Importantly, daily treatment of 30 mg/kg of 8 induced 81.6 % tumor suppression in NCI-H1373 lung xenograft mice tumor models, which is significantly better than the clinical candidate, RBN-2397. These intriguing features highlight the promising advantages of 8 as an antitumor agent.

A biochemistry-oriented drug design: synthesis, anticancer activity, enzymes inhibition, molecular docking studies of novel 1,2,4-triazole derivatives.

In this study, we researched the reactions of 5-(5-bromofuran-2-yl)-4-methyl-1,2,4-triazole-3-thiol and 5-thiophene-(3-ylmethyl)-4R-1,2,4-triazole-3-thiols with some halogen-containing compounds, a number of new compounds were synthesized (1.1-1.5 and 2.1-2.8). These compounds showed excellent to good inhibitory activities on acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. For obtaining the effects of these compounds on AChE and BChE enzymes were determined spectrophotometrically according to Ellman. IC50 values of these enzymes were ranging between 1.63 and 17.68 nM for AChE and 8.71 and 84.02 nM for BChE. After, prostate cancer is the second leading cause of cancer-related mortality for men over the age of 65 in developed countries. Current treatment options remain limited in the treatment of advanced-stage prostate cancer leading to biochemical recurrence in almost 40% of the patients. Therefore, there is an urgent need for development of novel therapeutic tools for treatment of prostate cancer patients. In this study, we aimed at analyzing the potential of all compounds against prostate cancer cells. We found that, of the tested compounds, 2.1, 2.2 and 2.3 showed significant cytotoxic activities against PC3 prostate cancer cells, although their effect on the viability of normal prostate cells was limited. These findings suggest their selective targeting potential for prostate cancer cells and offer them as candidate therapeutic agents against prostate cancer. The inhibitory activities of some chemical compounds, such as (1.1-1.5 and 2.1-2.8) were assessed by performing the molecular docking study in the presence of AChE, BChE and prostate cancer protein. MM/GBSA methods are calculated binding free energy. Finally, ADME/T analysis was performed to examine the drug properties of the 13 studied molecules.Communicated by Ramaswamy H. Sarma.

Caged Polyprenylated Xanthones in Garcinia hanburyi and the Biological Activities of Them.

The previous phytochemical analyses of Garcinia hanburyi revealed that the main structural characteristic associated with its biological activity is the caged polyprenylated xanthones with a unique 4-oxatricyclo [4.3.1.03,7] dec-2-one scaffold, which contains a highly substituted tetrahydrofuran ring with three quaternary carbons. Based on the progress in research of the chemical constituents, pharmacological effects and modification methods of the caged polyprenylated xanthones, this paper presents a preliminary predictive analysis of their drug-like properties based on the absorption, distribution, metabolism, excretion and toxicity (ADME/T) properties. It was found out that these compounds have very similar pharmacokinetic properties because they possess the same caged xanthone structure, the 9,10-double bond in a,b-unsaturated ketones are critical for the antitumor activity. The author believes that there is an urgent need to seek new breakthroughs in the study of these caged polyprenylated xanthones. Thus, the research on the route of administration, therapeutic effect, structural modification and development of such active ingredients is of great interest. It is hoped that this paper will provide ideas for researchers to develop and utilize the active ingredients derived from natural products.

Artificial intelligence: Machine learning approach for screening large database and drug discovery.

Recent research in drug discovery dealing with many faces difficulties, including development of new drugs during disease outbreak and drug resistance due to rapidly accumulating mutations. Virtual screening is the most widely used method in computer aided drug discovery. It has a prominent ability in screening drug targets from large molecular databases. Recently, a number of web servers have developed for quickly screening publicly accessible chemical databases. In a nutshell, deep learning algorithms and artificial neural networks have modernised the field. Several drug discovery processes have used machine learning and deep learning algorithms, including peptide synthesis, structure-based virtual screening, ligand-based virtual screening, toxicity prediction, drug monitoring and release, pharmacophore modelling, quantitative structure-activity relationship, drug repositioning, polypharmacology, and physiochemical activity. Although there are presently a wide variety of data-driven AI/ML tools available, the majority of these tools have, up to this point, been developed in the context of non-communicable diseases like cancer, and a number of obstacles have prevented the translation of these tools to the discovery of treatments against infectious diseases. In this review various aspects of AI and ML in virtual screening of large databases were discussed. Here, with an emphasis on antivirals as well as other disease, offers a perspective on the advantages, drawbacks, and hazards of AI/ML techniques in the search for innovative treatments.

Cheminformatics approach for identification of N-HyMenatPimeMelly as a novel potential ligand against RAS and renal chloride channel.

Some angiotensin receptor (AR) blockers interfere with the renal chloride channel (ClC-K), which plays an important role in urine concentration. Identifying ligands targeting this channel, whether activating or blocking, is highly desirable because it could open the way for interventions that modulate their activity. In this study, the Asinex (BioDesign) complete library was screened to identify a compound with favorable physicochemical and pharmacokinetic properties, which have both AR blocking and ClC-Ka-modulating activities to present it as a novel potential oral candidate which could be useful for treatment of salt-sensitive hypertension without major ClC-K affection. A compound, N-{[4-Hydroxy-1-(2-methyl-1,6-naphthyridin-4-yl)-4-piperidinyl]methyl}-N-methyl-L-lysinamide (N-HyMenatPimeMelly) (Chem Spider ID 68416221), was identified as a potent potential oral ligand of the renin-angiotensin system (RAS) and ClC-Ka with docking scores ranging from -10.978 to -7.324 with the four selected proteins (4YAY: AR type 1, 2PFI: Cytoplasmic domain of ClC-Ka, 6JOD: AR type 2 and 6M0J: Angiotensin-converting enzyme 2). The protein-ligand complex was used to perform molecular dynamics (MD) simulation for 100 ns. The QikProp and SwissADME tools' results showed that the compound has ADME/T and drug-likeness properties, which are within the permissible ranges for 95% of known drugs. The density functional theory (DFT) analysis and MD simulation extended the study toward computational validation. Throughout the study, N-HyMenatPimeMelly has shown good interactions and stable performance in MD simulation and DFT analysis. The whole analysis has produced promising results, and N-HyMenatPimeMelly can be treated as a novel potential RAS and ClC-K oral ligand, however, experimental validation is needed before human use.Communicated by Ramaswamy H. Sarma.

Synthesis, molecular modeling investigation, molecular dynamic and ADME prediction of some novel Mannich bases derived from 1,2,4-triazole, and assessment of their anticancer activity.

A series of biologically active novel Mannich bases containing with a 1H-1,2,4-triazole-5-one ring were developed to evaluate the cytotoxic activity. For this purpose, the synthesized Schiff Bases (S1-5) were reacted with formaldehyde and morpholine, which is a secondary amine to yield novel N-Mannich bases (M1-5) via the Mannich reaction. The structures of the compounds (M1-5) were determined structurally employing 1H/13C-NMR, IR and elemental analysis. In this study, we evaluated the cytotoxic potential of the compounds (M1-5) on the human hypopharyngeal carcinoma FaDu cells. We found that the compound (M3) possesses a significant anticancer feature against FaDu cells that might be evaluated with further in vitro and in vivo studies to understand its anticancer potential better. Lastly, comparisons were made using molecular docking calculations to find the theoretical activities of the compounds (M1-5). The docking score parameter of the compound (M3) against the 2DO4 protein is -5.67, the docking score parameter against the 5JPZ protein is -5.72, and finally, the docking score parameter against the 2H80 protein is -5.50. Molecular dynamic calculations are made for 0-100 ns. The ADME/T calculations were performed to find the drug potential of the compounds (M1-5). The results suggest that our drug candidate compound exhibits strong potential for co-administration with the antigen structures, owing to the low rate of interactions that decreased over time.Communicated by Ramaswamy H. Sarma.

Exploring the structural-activity relationship of hexahydropyrazino[1,2-d]pyrido[3,2-b][1,4]oxazine derivatives as potent and orally-bioavailable PARP7 inhibitors.

PARP7 has emerged as a promising anti-tumor target due to its crucial roles in nucleic acid sensing and immune regulation. Herein, we explored the structural-activity relationship of tricyclic PARP7 inhibitors containing a hexahydropyrazino[1,2-d]pyrido[3,2-b][1,4]oxazine motif. The effects of the chirality of the fused rings, the group conjugated to the fused rings, and the size of the linker on PARP7 inhibition were fully investigated. Our work leads to the discovery of an extremely potent and orally-bioavailable PARP7 inhibitor, namely 18 (PARP7 inhibition IC50 = 0.56 nM), for efficacious treatment of lung cancer in vivo. Notably, 18 showed acceptable bioavailability in ICR mice (F = 33.9%) and Beagle dogs (F = 45.2%). Further investigation of ADME-T properties suggested that 18 has the potential to be developed as a candidate drug molecule for PARP7-sensitive tumors.

An exploration of binding of Hesperidin, Rutin, and Thymoquinone to acetylcholinesterase enzyme using multi-level computational approaches.

Alzheimer's disease, an intricate neurological disorder, is impacting an ever-increasing number of individuals globally, particularly among the aging population. For several decades phytochemicals were used as Ayurveda to treat both communicable and non-communicable diseases. Acetylcholinesterase (AChE) is a widely chosen therapeutic target for the development of early prevention and effective management of neurodegenerative diseases. The primary objective of the present study was to investigate the binding potential between Rutin Thymoquinone, Hesperidin and the FDA-approved drug Donepezil with AChE. Additionally, a comparative analysis was conducted. These phytochemicals were docked with the binding site of the AChE experimental complex. The molecular dockings demonstrated that the Hesperidinh showed a better binding affinity of -22.0631 kcal/mol. The ADME/T investigations revealed that the selected phytochemicals are non-toxic and drug-like candidates. Molecular dynamics simulations were implemented to determine the conformational changes of Rutin, hesperidin, Thymoquinone, and Donepezil complexed with AChE. Hesperidin and Donepezil were more stable than Rutin, Thymoquinone complexed with AChE. Next, essential dynamics and defining the secondary structure of protein were to determine the conformational changes in AChE complexed with selected phytochemicals during simulations. Overall, the MD Simulations demonstrated that all complexes in this study achieved stability until 100 ns of the simulation period was performed thrice. The structural analysis of AChE was done using multiple search engines to explore the molecular functions, biological processes, and pathways in which AChE proteins are involved and to identify potential drug targets for various diseases. This present study concludes that Hesperidin was found to be a more potent AChE inhibitors than Rutin, and further experiments are required to determine the effectivity of Hesperidin against neurodegenerative diseases.Communicated by Ramaswamy H. Sarma.

Novel Quinazolinone Derivatives: Potential Synthetic Analogs for the Treatment of Glaucoma, Alzheimer's Disease and Diabetes Mellitus.

Quinazolinones, which represent an important part of nitrogen-containing six-membered heterocyclic compounds, are frequently used in drug design due to their wide biological activity properties. Therefore, the novel quinazolinones were synthesized from the reaction of acylated derivatives of 4-hydroxy benzaldehyde with 3-amino-2-alkylquinazolin-4(3H)-ones with good yields (85-94 %) and their structures were characterized using Fourier-transform Infrared (FT-IR), Nuclear Magnetic Resonance (1 H-NMR, 13 C-NMR), and High-Resolution Mass Spectroscopy (HR-MS). As the application of the synthesized compounds, their inhibition properties of the synthesized compounds on α-Glucosidase (α-Glu), Acetylcholinesterase (AChE), Butyrylcholinesterase (BChE), and Carbonic anhydrase I-II (hCA I-II) metabolic enzymes were investigated. All compounds showed inhibition at nanomolar level with the Ki values in the range of 12.73±1.26-93.42±9.44 nM for AChE, 8.48±0.92-25.84±2.59 nM for BChE, 66.17±5.16-818.06±44.41 for α-Glu, 2.56±0.26-88.23±9.72 nM for hCA I, and 1.68±0.14-85.43±7.41 nM for hCA II. Molecular docking study was performed to understand the interactions of the most potent compounds with corresponding enzymes. Also, absorption, distribution, metabolism, excretion, and toxicity (ADME/T) properties of the compounds were investigated.

Synthesis, spectroscopic investigation, molecular docking, ADME/T toxicity predictions, and DFT study of two trendy ortho vanillin-based scaffolds.

In this article, we have synthesized two contemporary ortho-vanillin-based Salen-type ligands (H2L1/H2L2) characterized by modern spectroscopic tools. EDX analysis supports the elemental composition (C, N, O, and Br). SEM examined the morphology of the synthesized compounds. The molecular geometry was optimized in the gas phase using B3LYP-D3/6-311G (d, p) level. The global reactivity parameters, HOMO-LUMO energy gap (Δ), atomic properties, MESP, and ADME/T, vividly explore the chemical reactivity and toxicity of two Salen-type ligands. The DFT simulated IR/NMR characterized essential structural assignments, and UV-Visible spectra were employed to predict the optical properties. The article demonstrated in silico molecular docking against the Gm + ve Bacillus subtilis (6UF6), and Gm -ve Proteus Vulgaris establishes the ligand binding ability with essential amino acids through conventional H-bonding or other significant interactions. The docking simulation is compared for two compounds better than the control drugs and confirms the antimicrobial activity. The theoretical drug-like properties have been explored in-depth by ADME/T using the SWISSADME database. The analysis estimated the molecule's lipophilicity, the consensus P0/W, and water solubility. Thus, using various pharmaco-logical parameters, toxicity explains where the electron-withdrawing Br group plays a more toxic effect in H2L2 than in H2L1.

Synthesis, spectroscopic findings, SEM/EDX, DFT, and single-crystal structure of Hg/Pb/Cu-SCN complexes: In silico ADME/T profiling and promising antibacterial activities.

This work contemplates synthesizing M-SCN crystal compounds (M = Hg/Pb/Cu) in the presence of respective metal salts and exogenous ancillary SCN- ion by slowly evaporating the mixed solvent (CH3OH + ACN). The complexes were characterized by spectroscopy, SEM/EDX, and X-ray crystallography. The Hg-Complex, Pb-Complex, and Cu-Complex crystallize in the monoclinic space group (Z = 2/4). The crystal packing fascinatingly consists of weak covalent bonding and Pb⋯S contacts of tetrel type bond. Here are the incredible supramolecular topographies delineated by the Hirshfeld surface and 2D fingerprint plot. The B3LYP/6-311++G (d, p) level calculations in the gas phase optimized the compound's geometry. The energy difference (Δ) between HOMO-LUMO and global reactivity parameters investigates the complex's energetic activity. MESP highlights the electrophilic/nucleophilic sites and H-bonding interactions. Molecular docking was conceded with the Gram- + ve bacterium Bacillus Subtilis (PDB ID: 6UF6) and the Gram-ve bacterium Proteus Vulgaris (PDB ID: 5HXW) to authenticate the bactericidal activity. ADME/T explains the various pharmacological properties. In addition, we studied the antibacterial activity with MIC (µg/mL) values and time-kill kinetics against Staphylococcus aureus (ATCC 25923) and Bacillus subtilis (ATCC 6635) as Gram-positive, Pseudomonas aeruginosa (ATCC 27853) and Escherichia coli (ATCC 25922) as Gram-negative bacteria.

3D-QSAR, molecular docking, and molecular dynamics analysis of dihydrodiazaindolone derivatives as PARP-1 inhibitors.

CONTEXT: PARP-1 plays an important role in DNA repair and apoptosis, and PARP-1 inhibitors have shown to be effective in the treatment of several malignancies. To evaluate the function of new PARP-1 inhibitors as anticancer adjuvant medicines, 3D-QSAR, molecular docking, and molecular dynamics (MD) simulations of a sequence of dihydrodiazepinoindolone derivatives PARP-1 inhibitors were undertaken in this study. METHODS: In this paper, 43 PARP-1 inhibitors were studied in a three-dimensional quantitative structure-activity relationship (3D-QSAR) using comparative molecular field analysis (CoMFA) and comparative molecular similarity index analysis (CoMSIA). CoMFA with q2 of 0.675 and r2 of 0.981 was achieved, as was CoMSIA with q2 of 0.755 and r2 of 0.992. The changed areas of these compounds are shown by steric, electrostatic, hydrophobic, and hydrogen-bonded acceptor field contour maps. Subsequently, molecular docking, and molecular dynamics simulations further confirmed that key residues Gly863 and Ser904 of PARP-1 are vital residues for protein interactions and their binding affinity. The effects of 3D-QSAR, molecular docking and molecular dynamics simulations supply a new route for the search of new PARP-1 inhibitors. Finally, we designed eight new compounds with exact activity and ADME/T properties.

Quest for selective MMP9 inhibitors: a computational approach.

Matrix Metalloproteinases-9 (MMP-9) is one of the important targets that play a vital role in various diseases such as cancer, Alzheimer's, arthritis, etc. Traditionally, MMP-9 inhibitors have been unable to achieve selectivity to get around this target; thereby, novel mechanisms such as inhibition of activated MMP-9 zymogen (pro-MMP-9) have been discovered. The JNJ0966 was one of the few compounds that attained the requisite selectivity by inhibiting the activation of MMP-9 zymogen (pro-MMP-9). Since JNJ0966, no other small molecules have been identified. Herein, extensive in silico studies were called upon to bolster the prospect of exploring potential candidates. The key objective of this research is to identify the potential hits from the ChEMBL database via molecular docking and dynamics approach. Protein with PDB ID: 5UE4, having a unique inhibitor in an allosteric binding pocket of MMP-9, was chosen for the study. Structure-based virtual screening and MMGBSA binding affinity calculations were performed, and five potential hits were finalized. Detailed analysis of the best-scoring molecules was performed with ADMET analysis and molecular dynamics (MD) simulation. All five hits outperformed JNJ0966 in the docking assessment, ADMET analysis, and molecular dynamics simulation. Accordingly, our research findings imply that these hits can be investigated for in vitro and in vivo studies against proMMP9 and might be explored as potential anticancer drugs. The outcome of our research might contribute in expediting the exploration of drugs that inhibits proMMP-9.Communicated by Ramaswamy H. Sarma.

Identification of RdRp inhibitors against SARS-CoV-2 through E-pharmacophore-based virtual screening, molecular docking and MD simulations approaches.

The outbreak of novel Coronavirus, an enduring pandemic declared by WHO, has consequences to an alarming ongoing public health menace which has already claimed several million human lives. In addition to numerous vaccinations and medications for mild to moderate COVID-19 infection, lack of promising medication or therapeutic pharmaceuticals remains a serious concern to counter the ongoing coronavirus infections and to hinder its dreadful spread. Global health emergencies have called for urgency for potential drug discovery and time is the biggest constraint apart from the financial and human resources required for the high throughput drug screening. However, computational screening or in-silico approaches appeared to be an effective and faster approach to discover potential molecules without sacrificing the model animals. Accumulated shreds of evidence on computational studies against viral diseases have revealed significance of in-silico drug discovery approaches especially in the time of urgency. The central role of RdRp in SARS-CoV-2 replication makes it promising drug target to curtain on going infection and its spread. The present study aimed to employ E-pharmacophore-based virtual screening to reveal potent inhibitors of RdRp as potential leads to block the viral replication. An energy-optimised pharmacophore model was generated to screen the Enamine REAL DataBase (RDB). Then, ADME/T profiles were determined to validate the pharmacokinetics and pharmacodynamics properties of the hit compounds. Moreover, High Throughput Virtual Screening (HTVS) and molecular docking (SP & XP) were employed to screen the top hits from pharmacophore-based virtual screening and ADME/T screen. The binding free energies of the top hits were calculated by conducting MM-GBSA analysis followed by MD simulations to determine the stability of molecular interactions between top hits and RdRp protein. These virtual investigations revealed six compounds having binding free energies of -57.498, -45.776, -46.248, -35.67, -25.15 and -24.90 kcal/mol respectively as calculated by the MM-GBSA method. The MD simulation studies confirmed the stability of protein ligand complexes, hence, indicating as potent RdRp inhibitors and are promising candidate drugs to be further validated and translated into clinics in future.

Molecular docking/dynamics simulations, MEP analysis, bioisosteric replacement and ADME/T prediction for identification of dual targets inhibitors of Parkinson's disease with novel scaffold.

Monoamine oxidase B and Adenosine A2A receptors are used as key targets for Parkinson's disease. Recently, hMAO-B and hA2AR Dual-targets inhibitory potential of a novel series of Phenylxanthine derivatives has been established in experimental findings. Hence, the current study examines the interactions between 38 compounds of this series with hMAO-B and hA2AR targets using different molecular modeling techniques to investigate the binding mode and stability of the formed complexes. A molecular docking study revealed that the compounds L24 ((E)-3-(3-Chlorophenyl)-N-(4-(1,3-dimethyl-2,6-dioxo-2,3,6,7-tetrahydro-1H-purin-8-yl) phenyl) acrylamide and L32 ((E)-3-(3-Chlorophenyl)-N-(3-(1,3-dimethyl-2,6-dioxo-2,3,6,7-tetrahydro-1H-purin-8-yl)phenyl)acrylamide) had a high affinity (S-score: -10.160 and -7.344 kcal/mol) with the pocket of hMAO-B and hA2AR targets respectively, and the stability of the studied complexes was confirmed during MD simulations. Also, the MEP maps of compounds 24 and 32 were used to identify the nucleophilic and electrophilic attack regions. Moreover, the bioisosteric replacement approach was successfully applied to design two new analogs of each compound with similar biological activities and low energy scores. Furthermore, ADME-T and Drug-likeness results revealed the promising pharmacokinetic properties and oral bioavailability of these compounds. Thus, compounds L24, L32, and their analogs can undergo further analysis and optimization in order to design new lead compounds with higher efficacy toward Parkinson's disease. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-023-00139-3.