Browsing by Author "Liang, Chengyuan"

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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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    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.