Pharmaceutical Sciences and Natural Products - Research Publications

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Author: search.filters.author.Thareja, SureshSubject: search.filters.subject.Aromatase inhibitors

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    Medicinal chemistry aspects and synthetic strategies of coumarin as aromatase inhibitors: an overview
    (Springer, 2022-12-05T00:00:00) Ratre, Pooja; Kulkarni, Swanand; Das, Sweety; Liang, Chengyuan; Mishra, Pradyumna Kumar; Thareja, Suresh
    Coumarin is a bicyclic oxygen bearing heterocyclic scaffold formed by fusion of benzene with the pyrone ring. Because of its unique physicochemical characteristics and the ease with which it may be transformed into a wide range of functionalized coumarins during�synthesis, coumarin provides a privileged scaffold for medicinal chemists. As a result, many coumarin derivatives have been developed, synthesized, and evaluated to target a variety of therapeutic domains, thereby making it an attractive template for designing novel anti-breast cancer compounds. The main culprit in estrogen overproduction in the estrogen-dependent breast cancer (EDBC), is the enzyme aromatase (AR), and it is thought to be a significant target for the effective treatment of EDBC. Considering coumarins versatility, this review presents a detailed overview of diverse study of aromatase as a target for coumarins. An overview of structure�activity relationship analysis of coumarin core is also included so as to summarize the desired pharmacophoric features essential for design and development of aromatase inhibitors (AIs) using coumarin core. Identification of key synthesis techniques that could aid researchers in designing and developing novel analogues with significant anti-breast cancer properties along with their mechanism of action have also been covered in the current review. Graphical Abstract: [Figure not available: see fulltext.] � 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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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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    Dual Aromatase-Sulphatase Inhibitors (DASIs) for the Treatment of Hormone Dependent Breast Cancer
    (Bentham Science Publishers, 2021-01-19T00:00:00) Banjare, Laxmi; Jain, Akhlesh Kumar; Thareja, Suresh
    Breast cancer is the most frequently diagnosed cancer in women and the second most common form of cancer, causing death after lung cancer, all across the globe at an alarming rate. The level of estrogens in breast cancer tissues of postmenopausal women is 10-40 folds higher than the non-carcinogenic breast tissues. As a result of this greater level of estrogen, breast tissue becomes more prone to develop breast cancer; mainly, estradiol plays a significant role in the initiation and development of hormone-dependent breast cancer. Androstenedione, Adrenal dehydroepiandrosterone sulfate, and estrone-sulfate also play an important role as precursors for estrogen biosynthesis. Estrogen deprivation exhibits an attractive phenomenon in the advancement of ideal therapeutics for the treatment of breast cancer. Inhibition of aromatase and sulphatase emerged as an attractive therapy for the treatment of hormone-dependent breast cancer via deprivation of estrogen by different pathways. The cocktail of aromatase and sulphatase inhibitors known as Dual Aromatase-sulphatase Inhibitors (DASIs) emerged as an attractive approach for effective estrogen deprivation. The present review arti-cle focused on the journey of dual aromatase-sulphatase inhibitors from the beginning to date (2020). Keeping in view the key observations, this review may be helpful for medicinal chemists to design and develop new and efficient dual aromatase-sulphatase inhibitors for the possible treatment of hor-mone-related breast cancer. � 2021 Bentham Science Publishers.
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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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    Polymeric nanoparticles of aromatase inhibitors: A comprehensive review
    (Bentham Science Publishers, 2020-09-29T00:00:00) Mishra, Keerti; Ratre, Pooja; Thareja, Suresh; Jain, Akhlesh K.
    Being the second most frequent cancer, breast cancer is emerging worldwide with an alarming rate, specifically in post-menopausal women. Targeted drug delivery has been in the focus for the successful treatment of breast cancer by enhancing the drug delivery efficiency and reducing the systemic toxicity of drugs. Al-so, it eliminates the drawbacks associated with conventional chemotherapy, including neuropathy, memory loss, cardiotoxicity and low RBCs count. This review elaborates the polymeric nanoparticles based formulation approaches for selective and sustained delivery for effective cure of breast cancer. However, breast cancer, a life-threatening disease, is mostly caused because of estrogen, thus aromatase inhibitors and estrogen synthesis inhibitors could prevent chances of breast cancer. The disease is associated with drug resistance and some side effects, which could be easily eliminated by using novel therapeutic approaches. Aromatase inhibitors, when en-trapped in nanoparticles, have shown sustained drug release, advocating themselves to be beneficial for the treatment of breast cancer. � 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.