Pharmaceutical Sciences and Natural Products - Research Publications

Permanent URI for this collectionhttps://kr.cup.edu.in/handle/32116/56

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Author: search.filters.author.Thareja, SureshSubject: search.filters.subject.Molecular docking

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    Gaussian field-based 3D-QSAR and molecular simulation studies to design potent pyrimidine-sulfonamide hybrids as selective BRAFV600E inhibitors
    (Royal Society of Chemistry, 2022-10-21T00:00:00) Singh, Ankit Kumar; Novak, Jurica; Kumar, Adarsh; Singh, Harshwardhan; Thareja, Suresh; Pathak, Prateek; Grishina, Maria; Verma, Amita; Yadav, Jagat Pal; Khalilullah, Habibullah; Pathania, Vikas; Nandanwar, Hemraj; Jaremko, Mariusz; Emwas, Abdul-Hamid; Kumar, Pradeep
    The �RAS-RAF-MEK-ERK� pathway is an important signaling pathway in melanoma. BRAFV600E (70-90%) is the most common mutation in this pathway. BRAF inhibitors have four types of conformers: type I (?C-IN/DFG-IN), type II (?C-IN/DFG-OUT), type I1/2 (?C-OUT/DFG-IN), and type I/II (?C-OUT/DFG-OUT). First- and second-generation BRAF inhibitors show resistance to BRAFV600E and are ineffective against malignancies induced by dimer BRAF mutants causing �paradoxical� activation. In the present study, we performed molecular modeling of pyrimidine-sulfonamide hybrids inhibitors using 3D-QSAR, molecular docking, and molecular dynamics simulations. Previous reports reveal the importance of pyrimidine and sulfonamide moieties in the development of BRAFV600E inhibitors. Analysis of 3D-QSAR models provided novel pyrimidine sulfonamide hybrid BRAFV600E inhibitors. The designed compounds share similarities with several structural moieties present in first- and second-generation BRAF inhibitors. A total library of 88 designed compounds was generated and molecular docking studies were performed with them. Four molecules (T109, T183, T160, and T126) were identified as hits and selected for detailed studies. Molecular dynamics simulations were performed at 900 ns and binding was calculated. Based on molecular docking and simulation studies, it was found that the designed compounds have better interactions with the core active site [the nucleotide (ADP or ATP) binding site, DFG motif, and the phospho-acceptor site (activation segment) of BRAFV600E protein than previous inhibitors. Similar to the FDA-approved BRAFV600E inhibitors the developed compounds have [?C-OUT/DFG-IN] conformation. Compounds T126, T160 and T183 interacted with DIF (Leu505), making them potentially useful against BRAFV600E resistance and malignancies induced by dimer BRAF mutants. The synthesis and biological evaluation of the designed molecules is in progress, which may lead to some potent BRAFV600E selective inhibitors. � 2022 The Royal Society of Chemistry.
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    Multifaceted 3D-QSAR analysis for the identification of pharmacophoric features of biphenyl analogues as aromatase inhibitors
    (Taylor and Francis Ltd., 2021-12-29T00:00:00) Banjare, Laxmi; Singh, Yogesh; Verma, Sant Kumar; Singh, Atul Kumar; Kumar, Pradeep; Kumar, Shashank; Jain, Akhlesh Kumar; Thareja, Suresh
    Aromatase, a cytochrome P450 enzyme, is responsible for the conversion of androgens to estrogens, which fuel the multiplication of cancerous cells. Inhibition of estrogen biosynthesis by aromatase inhibitors (AIs) is one of the highly advanced therapeutic approach available for the treatment of estrogen-positive breast cancer. Biphenyl moiety aids lipophilicity to the conjugated scaffold and enhances the accessibility of the ligand to the target. The present study is focused on the investigation of, the mode of binding of biphenyl with aromatase, prediction of ligand-target binding affinities, and pharmacophoric features essential for favorable for aromatase inhibition. A multifaceted 3D-QSAR (SOMFA, Field and Gaussian) along with molecular docking, molecular dynamic simulations and pharmacophore mapping were performed on a series of biphenyl bearing molecules (1�33) with a wide range of aromatase inhibitory activity (0.15�920 nM). Among the generated 3D-QSAR models, the Force field-based 3D-QSAR model (R 2 = 0.9151) was best as compared to SOMFA and Gaussian Field (R 2=0.7706, 0.9074, respectively). However, all the generated 3D-QSAR models were statistically fit, robust enough, and reliable to explain the variation in biological activity in relation to pharmacophoric features of dataset molecules. A four-point pharmacophoric features with three acceptor sites (A), one aromatic ring (R) features, AAAR_1, were obtained with the site and survival score values 0.890 and 4.613, respectively. The generated 3D-QSAR plots in the study insight into the structure�activity relationship of dataset molecules, which may help in the designing of potent biphenyl derivatives as newer inhibitors of aromatase. Communicated by Ramaswamy H. Sarma. � 2021 Informa UK Limited, trading as Taylor & Francis Group.
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    De novo designing, assessment of target affinity and binding interactions against aromatase: Discovery of novel leads as anti-breast cancer agents
    (Springer, 2020-11-13T00:00:00) Verma, Sant Kumar; Ratre, Pooja; Jain, Akhlesh Kumar; Liang, Chengyuan; Gupta, Ghanshyam Das; Thareja, Suresh
    Aromatase inhibitors (AIs) have been emerged as promising anti-cancer agents for the treatment of hormone dependent breast cancer (HDBC) in women because of their excellent ability of inhibiting oestrogen synthesis. Here, we have implicated structure-based comprehensive approaches to discover novel drug/lead-like AIs. The molecular modelling and energy optimization were performed using Chem Office package. The e-LEA3D web server was used to design novel drug/lead-like AIs as well as generation of ADME/drug-likeness parameters. Target binding affinities and mode of binding interactions were mapped using Molegro Virtual Docker (MVD) to re-optimize the best de novo generated molecules. We have successfully designed novel AIs (compounds 1�7) using de novo technique performed on e-LEA3D. All the designed molecules were found optimum drug-like candidates based on various in silico screening parameters including �rule of five�. The energy optimized conformers of generated molecules (1�7) were docked in the active site, corresponding to co-crystallized androstenedione (ASD), of aromatase to predict ligand-target binding affinity and their binding interactions. The molecules (1�7) showed comparable to higher binding affinity towards aromatase with MolDock Score ranges from ? 134.881 to ? 152.453�Kcal/mol as compared with natural substrate ASD (? 128.639�Kcal/mol) and standard letrozole (? 136.784�Kcal/mol). The de novo designed molecules (1�7) can be developed as novel AIs, and their binding properties can be used for the further designing of newer AIs by medicinal chemists. � 2020, Springer Science+Business Media, LLC, part of Springer Nature.
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    In silico docking of anti cancerous drugs with ?-cyclodextrin polymer as a prominent approach to improve the bioavailability
    (Bentham Science Publishers, 2020-10-14T00:00:00) Jain, Akhlesh K.; Mishra, Keerti; Thareja, Suresh
    Background: ?-Cyclodextrin, a cyclic oligosaccharides having 7 macrocyclic rings of glucose subunits usually linked together by ?-1,4 glycosidic bond, bears characteristic chemical structure, with an exterior portion as hydrophilic to impart water solubility and interior cavity as hydrophobic, for hosting the hydrophobic molecules. Objective: In the present work binding affinities and interactions between various anti-cancerous drugs and ?cyclodextrin using molecular docking simulations was examined for the bioavailability enhancement of cytotoxic drugs through improved solubility for the treatment of breast cancer. Methods: Molegro Virtual Docker, an integrated software was used for the prediction and estimation of interaction between ?-cyclodextrin and anti cancerous drugs. Results: Out of tested anti cancerous drug, Olaparib having pyridopyridazione scaffold possess highest MolDock (-130.045) and Re-ranks score (-100.717), ensuring strong binding affinity. However, 5-Fluoro Uracil exhibited the lowest MolDock score (-61.0045), indicating weak or no binding affinity, while few drugs showed no H-bond interaction with the ?-cyclodextrin. Conclusion: The binding conformations of anti cancerous drugs obtained from the present study can be selected for the development of improved formulation having superior solubility which will lead to attain better pharmacological profile with negligible toxicity. � 2021 Bentham Science Publishers.
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    In silico molecular interaction studies of chitosan polymer with aromatase inhibitor: Leads to letrozole nanoparticles for the treatment of breast cancer
    (Bentham Science Publishers, 2020-08-26T00:00:00) Mishra, Keerti; Verma, Sant K.; Ratre, Pooja; Banjare, Laxmi; Jain, Abhishek; Thareja, Suresh; Jain, Akhlesh K.
    Background: It takes a lot more studies to evaluate the molecular interaction of nanoparticles with the drug, their drug delivery potential and release kinetics. Thus, we have taken in silico and in vitro approaches into account for the evaluation of the drug delivery ability of the chitosan nanoparticles. Objective: The present work was aimed to study the interaction of chitosan nanoparticles with appropriate aromatase inhibitors using in silico tools. Further, synthesis and characterization of chitosan nanoparticles having optimal binding energy and affinity between drug and polymer in terms of size, encapsulation efficiency were carried out. Methods: In the current study, molecular docking was used to map the molecular interactions and estimation of binding energy involved between the nanoparticles and the drug molecules in silico. Letrozole is used as a model cytotoxic agent currently being used clinically; hence Letrozole loaded chitosan nanoparticles were formulated and characterized using photomicroscope, particle size analyzer, scanning electron microscope and fourier transform infra-red spectroscopy. Results: Letrozole had the second-highest binding affinity within the core of chitosan with MolDock (-102.470) and Re-rank (-81.084) scores. Further, it was investigated that formulated nanoparticles were having superior drug loading capacity and high encapsulation efficiency. In vitro drug release study exhibited prolonged release of the drug from chitosan nanoparticles. Conclusion: Results obtained from the in silico and in vitro studies suggest that Letrozole loaded nanoparticles are ideal for breast cancer treatment. � 2021 Bentham Science Publishers.