Synthesis, anti-tubercular evaluation and molecular docking studies of Nitrogen-rich piperazine-pyrimidine-pyrazole Hybrid Motifs

A convenient and efficient synthesis of a series of ethyl-1-(6-(4-substitutedacetylatedpiperazin-1-yl)pyrimidin-4-yl)-5-amino-1H-pyrazole-4-carboxylate (8a-8j) has been developed by five steps which include activation of a methylene group, hydrazinolysis, cyclisation and chloro-amine coupling reactions. Moreover, our proposed mechanism was confirmed in this study demonstrating that ethyl 5-amino-1-(6-chloropyrimidin-4-yl)-1H-pyrazole-4-carboxylate is the key intermediate to fulfill the desired outcomes. In silico and in vitro studies were carried out to identify the active agents among the developed adducts against mycobacterium tuberculosis (PDB ID:4TRO). Compound 8a (Docking Score: -26.81 and MIC: 1.6 ug/mL) was found to be the most potent among the synthesized molecules. All the synthesized compounds showed acceptable drug-like properties which make them suitable for further lead modification using in silico design approaches.

Boesenbergia pandurata as Anti-breast Cancer: Molecular Docking and ADMET Study

Background: Boesenbergia pandurata or fingerroot is known to have various pharmacological activities, including anticancer. Extracts from these plants are known to inhibit the growth of cancer cells, including breast cancer. Anti-breast cancer activity is significantly influenced by the inhibition of two receptors: ER-α and HER2. However, it is unknown which metabolites of B. pandurata play the most crucial role in their anticancer activity Objective: This study aimed to determine the metabolites of B. pandurata with the best potential as ER-α and HER2 inhibitors. Method: The method used was molecular docking of several B. pandurata metabolites to ER-α and HER2 receptors, followed by an ADMET study of several metabolites with the best docking results. Results: The docking results showed eight metabolites with the best docking results for the two receptors based on the docking score and ligand-receptor interactions. Of these eight compounds, compounds 11 ((2S)-7,8-dihydro-5-hydroxy-2-methyl-2-(4''-methyl-3''-pentenyl)-8-phenyl-2H,6H-benzo(1,2-b-5,4-b')dipyran-6-one) and 34 (geranyl-2,4-dihydroxy-6-phenethylbenzoate) showed the potential to inhibit both receptors. Both ADMET profiles also show mixed results but still allow for further development Conclusion: In conclusion, the metabolites of B. pandurata, especially compounds 11 and 34, can be developed as anti-breast cancer through the inhibition of ER-α and HER2.

THE MOLECULAR INTERACTION AND ADMET PREDICTION OF MODIFIED JPH203 AS A POTENTIAL RADIOPHARMACEUTICAL KIT FOR MOLECULAR IMAGING OF CANCER: AN IN SILICO RESEARCH

Objective: In this study, various types of pharmacokinetic modifying linkers and chelators are combined with JPH203 to obtain the best-docked molecule for prospective radiopharmaceutical kits. Methods: AutoDock 4.2.6 and AutoDockTools 1.5.6 programs was used to do the molecular docking simulation and ADMET prediction was done using VNN-ADMET to predict the pharmacokinetics and toxicity of the ligand. Results: The result of this study showed that JPH203-linker K-NOTA has the best affinity with a docking score of about-10.7 kcal/mol and shows hydrogen interaction with Tyr259, which acts as key residue of the active site. Conclusion: Based on the results, JPH203-linker K-NOTA has good potential as a radiopharmaceutical kit of cancer.

Insights into the Binding of Receptor-Binding Domain (RBD) of SARS-CoV-2 Wild Type and B.1.620 Variant with hACE2 Using Molecular Docking and Simulation Approaches

Recently, a new variant, B.1620, with mutations (S477N-E484K) in the spike protein’s receptor-binding domain (RBD) has been reported in Europe. In order to design therapeutic strategies suitable for B.1.620, further studies are required. A detailed investigation of the structural features and variations caused by these substitutions, that is, a molecular level investigation, is essential to uncover the role of these changes. To determine whether and how the binding affinity of ACE2–RBD is affected, we used protein–protein docking and all-atom simulation approaches. Our analysis revealed that B.1.620 binds more strongly than the wild type and alters the hydrogen bonding network. The docking score for the wild type was reported to be −122.6 +/− 0.7 kcal/mol, while for B.1.620, the docking score was −124.9 +/− 3.8 kcal/mol. A comparative binding investigation showed that the wild-type complex has 11 hydrogen bonds and one salt bridge, while the B.1.620 complex has 14 hydrogen bonds and one salt bridge, among which most of the interactions are preserved between the wild type and B.1.620. A dynamic analysis of the two complexes revealed stable dynamics, which corroborated the global stability trend, compactness, and flexibility of the three essential loops, providing a better conformational optimization opportunity and binding. Furthermore, binding free energy revealed that the wild type had a total binding energy of −51.14 kcal/mol, while for B.1.628, the total binding energy was −68.25 kcal/mol. The current findings based on protein complex modeling and bio-simulation methods revealed the atomic features of the B.1.620 variant harboring S477N and E484K mutations in the RBD and the basis for infectivity. In conclusion, the current study presents distinguishing features of B.1.620, which can be used to design structure-based drugs against the B.1.620 variant.

In Silico Screening of Potential Inhibitors of the Epidermal Growth Factor Receptor Kinase using Benzimidazole, Benzoxazole, Imidazole, and Tetrazole Derivatives

Background: Small molecule compounds are docked into receptor binding sites and the binding affinity of the complex is calculated using the structure-based drug design technique. Precise and quick docking processes, as well as the capacity to examine binding geometries and interactions, are required for a full knowledge of the structural principles that influence the strength of a protein/ligand complex. The present work deals with in-silico molecular docking studies of some heterocyclic compounds such as benzoxazole, benzimidazole, imidazole and tetrazole against the EGFR tyrosine kinase receptor. Methodology: Molecular docking studies of some heterocyclic compounds such as benzoxazole, benzimidazole, imidazole and tetrazole against the EGFR tyrosine kinase receptor using Schrodinger LLC (Maestro 9.2) software. Results: Our in silico observations reveal that, all the selected heterocyclic compounds (1-8) show good binding interaction and good docking score against selected target enzyme. Out of eight compounds selected for the study two compounds compound 3 and 7 shows higher glide score. Compound 3 binded to ASP855 with a docking score of −11.20 kcal/mol. Compound 7 binded to ASP855 with a docking score of −11.56kcal/mol. Conclusion: Docking results revealed that compounds (1-8) interact with EGFR kinase receptor active site. Among the compounds, compound 7 has shown the highest glide score of -11.56 kcal/mol.

Molecular Study of Antiviral Compound of Indonesian Herbal Medicine as 3CLpro and PLpro Inhibitor in SARS-COV-2

Rapid transmission of COVID-19 disease and the fatal effects of the disease lead researchers to use various way to find potential anti-COVID-19 compounds, including using modern approaches. Molecular docking is one of the methods that can be used to analyse antiviral compounds and its molecular target from Indonesian herbs that are believed to have properties as anti-COVID-19. This study aims to analyse antiviral compounds from 5 herbs that have the potential as inhibitors of PLpro and 3CLpro, which both are a non-structural protein in SARS-CoV-2 by molecular docking approach using PLANTS. Remdesivir triphosphate, the active metabolite of remdesivir, was used as the comparison compound in studies. The results showed docking scores obtained from interactions between natural ligands, remdesivir trifospat, curcumin, demetoksikurkumin, bisdemetoksikurkumin, luteolin, apigenin, kuersetin, kaempferol, formononrtin-7-O-glucoronide, androgafolide, and neoandrogafolide with PLpro are as follows -111,441, -103,827, -103,609, -102,363, -100,27,-79,6655, -78.6901, -80.9337, -79.4686, -82.1124, -79.1789, and -97.2452.Combination between quercetin, neoandrographolide, bisdemethoxycurcumin, demetoxycurcumin, and curcumin showed a synergy effect by reduce its docking score. Meanwhile its interaction with the protein 3CLpro showed docking score for those compounds as follows 64.0074, -86.1811, -81.428, -87.1625, -78.2899, -73.4345,-70,3368, -71.5539, -68.4321, -72.0154, -75.9777 and -93.7746.Combination between andrographolide, neoandrographolide, bisdemethoxycurcumin, demetoxycurcumin and curcumin, also shows synegy effect in 3CLpro allow them to reduce the docking score.This study concludes that curcumin was known as the most potent compound that act as a PLpro inhibitor based on a docking score of -103,609, while in 3CLpro all the compound have a potential to inhibit 3CLpro with demethosxycurcumin and neoandrogafolide as the most potent compound with a docking score -87,126 and -93.7746.

V-Dock: Fast Generation of Novel Drug-Like Molecules Using Machine-Learning-Based Docking Score and Molecular Optimization

We propose a computational workflow to design novel drug-like molecules by combining the global optimization of molecular properties and protein-ligand docking with machine learning. However, most existing methods depend heavily on experimental data, and many targets do not have sufficient data to train reliable activity prediction models. To overcome this limitation, protein-ligand docking calculations must be performed using the limited data available. Such docking calculations during molecular generation require considerable computational time, preventing extensive exploration of the chemical space. To address this problem, we trained a machine-learning-based model that predicted the docking energy using SMILES to accelerate the molecular generation process. Docking scores could be accurately predicted using only a SMILES string. We combined this docking score prediction model with the global molecular property optimization approach, MolFinder, to find novel molecules exhibiting the desired properties with high values of predicted docking scores. We named this design approach V-dock. Using V-dock, we efficiently generated many novel molecules with high docking scores for a target protein, a similarity to the reference molecule, and desirable drug-like and bespoke properties, such as QED. The predicted docking scores of the generated molecules were verified by correlating them with the actual docking scores.

SKRINING SENYAWA INHIBITOR H2 DARI KAYU MANIS (Cinnamomum verum J.Presl)

Digestive tract disorders, especially gastric disorders, are often experienced by people. One drug to treat this disorder has a mechanism of blocking the H2 receptor. This research was conducted to find compounds from C.verum which have the stability of bind to H2 receptors. The method used is protein modeling with swiss-model, docking with PLANTS (CHEMPLP) and activity prediction. The test results obtained that the docking score was ?- amorphene (-65,79), ?-bergamotene (-65,48), ?-copaene (-66,62), ?-cubebene (-66,46), Cadinene (-64 , 79), Camphor (-52.15), Caryophyllene (-62.61), Cinnamaldehyde (-68.17), Epicatechin (-80.43), Ergosterol (-85.24), Eugenol (-67.35), Hydrocinnamaldehyde (-65,53), Quercetin (-74,38), Protocatechuic acid (-71,49), Stigmasterol (-88,88), 4- (2,3-dihydro-3- (hydroxymethyl) - 5- (3-hydroxypropyl) -7- (methoxy) benzofuranyl] -2-methoxyphenyl (-85,29). Combined with the probability activity of compounds that have the potential to be further developed are Epicatechin and urolignoside.

Investigation of the Anti-TB Potential of Selected Phytochemicals of Nigella Sativa using Molecular Docking Approach

Background: Tuberculosis (TB) is one of the foremost causes of human mortality across the world. In general, it is a curable disease and several drugs are available in market for its treatment, however, because of the drug resistance to the currently available anti-TB drugs, the development and/or discovery of new drugs with better efficacy against TB cannot be overlooked. In the present study, we performed virtual screening of the major phytochemicals of the plant Nigella sativa for investigating their potential to inhibit some novel drug targets of Mycobacterium tuberculosis, which included- pantothenate kinase, type 1 (MtPanK), β-ketoacyl ACP synthase I (MtKasA), and decaprenylphosphoryl-β-D-ribose 2′-epimerase 1 (MtDprE1). Methods: The screening of the phytochemicals was investigated through a molecular docking approach using Auto dock vina and the molecular interactions in the protein-ligand complexes were visualized and analysed through PyMol and BioVia Discovery Studio Visualizer. Results: Our in silico observations reveal that, out of the nine selected phytochemicals screened, five compounds, namely α-hederin, dithymoquinone, nigellidine, thymoquinone and thymol binded to one or more of the selected target enzymes with significant docking scores. α-hederin binded to MtDprE1 and MtKasA with a docking score of −8.5kcal/mol and −7.9kcal/mol, respectively, dithymoquinone binded to MtKasA, MtDprE1 and MtPanK with a docking score of −6.5kcal/mol, −8.2kcal/mol and −9.2kcal/mol, respectively and nigellidine binded to MtDprE1 and MtPanK with a docking score of −8.1kcal/mol and −8.2kcal/mol, respectively. Further, thymol as well as thymoquinone were observed to bind MtKasA with a docking score of −6.6kcal/mol. Conclusions: The results of our study indicate that the five phytochemicals of N. sativa, including α-hederin, dithymoquinone, nigellidine, thymoquinone and thymol, are worth studying further for their anti-TB activity, however, additional biological studies are warranted to validate these findings.

PCOS Modulatory Activity of Tinospora cordifolia leaves – An Insilico Approach

The polycystic ovarian syndrome affects women of all age groupsis mainly due to hyperinsulinemia and hyperandrogenism.The insulin action in the ovaries is mediated by binding to its receptor namely IRS (Insulin receptor substrate).The present investigation is undertaken to select a suitable antagonistic ligand from the bioactive phyto components of Tinosporacordifolialeaves to inhibit IRS1 and IRS 2 receptors to prevent the binding of insulin and subsequent hyperandrogenism.The phyto ligands used for the study were obtained from the previous literature and the IRS1 and IRS 2 receptor protein structure were retrieved from PDB (protein Data bank). Using the Corina 3D converter the ligand 3D structures were obtained. Molecular docking analysis was performed through Patch dock server to select a suitable ligand based on docking score for the IRS1 and IRS 2 receptor protein.Three ligands namely Berberine, Rumphioside I and Syringin showed better docking score among the ligand selectedand their inhibitory activity were analysed by intermolecular interactions using “LIGPLOT” analysis. It can be concluded that these three ligands can be used for the successful treatment of PCOS after proper preclinical and clinical studies.