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      Reversible Monoacylglycerol Lipase Inhibitors: Discovery of a New Class of Benzylpiperidine Derivatives

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          Abstract

          Monoacylglycerol lipase (MAGL) is the enzyme responsible for the metabolism of 2-arachidonoylglycerol in the brain and the hydrolysis of peripheral monoacylglycerols. Many studies demonstrated beneficial effects deriving from MAGL inhibition for neurodegenerative diseases, inflammatory pathologies, and cancer. MAGL expression is increased in invasive tumors, furnishing free fatty acids as pro-tumorigenic signals and for tumor cell growth. Here, a new class of benzylpiperidine-based MAGL inhibitors was synthesized, leading to the identification of 13, which showed potent reversible and selective MAGL inhibition. Associated with MAGL overexpression and the prognostic role in pancreatic cancer, derivative 13 showed antiproliferative activity and apoptosis induction, as well as the ability to reduce cell migration in primary pancreatic cancer cultures, and displayed a synergistic interaction with the chemotherapeutic drug gemcitabine. These results suggest that the class of benzylpiperidine-based MAGL inhibitors have potential as a new class of therapeutic agents and MAGL could play a role in pancreatic cancer.

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          Most cited references66

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          GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

          Abstract Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely used, many expression analysis functions needed by experimental biologists are still not adequately addressed by these tools. We introduce GEPIA (Gene Expression Profiling Interactive Analysis), a web-based tool to deliver fast and customizable functionalities based on TCGA and GTEx data. GEPIA provides key interactive and customizable functions including differential expression analysis, profiling plotting, correlation analysis, patient survival analysis, similar gene detection and dimensionality reduction analysis. The comprehensive expression analyses with simple clicking through GEPIA greatly facilitate data mining in wide research areas, scientific discussion and the therapeutic discovery process. GEPIA fills in the gap between cancer genomics big data and the delivery of integrated information to end users, thus helping unleash the value of the current data resources. GEPIA is available at http://gepia.cancer-pku.cn/.
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            AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

            We describe the testing and release of AutoDock4 and the accompanying graphical user interface AutoDockTools. AutoDock4 incorporates limited flexibility in the receptor. Several tests are reported here, including a redocking experiment with 188 diverse ligand-protein complexes and a cross-docking experiment using flexible sidechains in 87 HIV protease complexes. We also report its utility in analysis of covalently bound ligands, using both a grid-based docking method and a modification of the flexible sidechain technique. (c) 2009 Wiley Periodicals, Inc.
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              A Rapid and Sensitive Method for the Quantitation of Microgram Quantities of Protein Utilizing the Principle of Protein-Dye Binding

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                Author and article information

                Journal
                J Med Chem
                J Med Chem
                jm
                jmcmar
                Journal of Medicinal Chemistry
                American Chemical Society
                0022-2623
                1520-4804
                06 May 2022
                26 May 2022
                : 65
                : 10
                : 7118-7140
                Affiliations
                []Department of Pharmacy, University of Pisa , Via Bonanno 6, 56126 Pisa, Italy
                []Department of Life Sciences, University of Siena , Via Aldo Moro, 2, 53100 Siena, Italy
                [§ ]Institute of Biochemistry and Molecular Medicine, NCCR TransCure, University of Bern , CH-3012 Bern, Switzerland
                []Department of Medical Oncology, VU University Medical Center, Cancer Center Amsterdam , DeBoelelaan 1117, 1081HV Amsterdam, The Netherlands
                []Pathology Unit, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS , 33081 Aviano, Italy
                [# ]Department of Molecular Sciences and Nanosystems, Ca’ Foscari University , 30123 Venezia, Italy
                []Metabolic Syndrome Research Center, Mashhad University of Medical Science , Mashhad 91886-17871, Iran
                []Cancer Pharmacology Lab, Fondazione Pisana per la Scienza , via Giovannini 13, 56017 San Giuliano Terme, Pisa, Italy
                []Department of Biotechnology, Chemistry and Pharmacy, University of Siena , Via Aldo Moro, 2, 53100 Siena, Italy
                []Center for Instrument Sharing of the University of Pisa (CISUP) , Lungarno Pacinotti 43, 56126 Pisa, Italy
                Author notes
                [* ]Email: carlotta.granchi@ 123456unipi.it . Phone: +39-0502219705.
                Author information
                https://orcid.org/0000-0001-6727-5816
                https://orcid.org/0000-0001-9593-636X
                https://orcid.org/0000-0001-6395-9348
                https://orcid.org/0000-0002-7240-3576
                https://orcid.org/0000-0002-5849-0722
                https://orcid.org/0000-0002-6205-4069
                Article
                10.1021/acs.jmedchem.1c01806
                9150076
                35522977
                02317b4b-802b-499a-8970-ecbe44b1c84c
                © 2022 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 21 October 2021
                Funding
                Funded by: Ministero della Salute, doi 10.13039/501100003196;
                Award ID: NET-2016-02363765
                Funded by: University of Pisa, doi NA;
                Award ID: PRA-2020-58
                Funded by: CCA Foundation, doi NA;
                Award ID: NA
                Funded by: Ministero dell''Istruzione, dell''Università e della Ricerca, doi NA;
                Award ID: 2017SA5837
                Funded by: Associazione Italiana per la Ricerca sul Cancro, doi 10.13039/501100005010;
                Award ID: NA
                Funded by: KWF Kankerbestrijding, doi 10.13039/501100004622;
                Award ID: 19571
                Categories
                Article
                Custom metadata
                jm1c01806
                jm1c01806

                Pharmaceutical chemistry
                Pharmaceutical chemistry

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