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      Norditerpenoids with Selective Anti-Cholinesterase Activity from the Roots of Perovskia atriplicifolia Benth.

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          Abstract

          Inhibition of cholinesterases remains one of a few available treatment strategies for neurodegenerative dementias such as Alzheimer’s disease and related conditions. The current study was inspired by previous data on anticholinesterase properties of diterpenoids from Perovskia atriplicifolia and other Lamiaceae species. The acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibition by the three new natural compounds—(1 R,15 R)-1-acetoxycryptotanshinone ( 1), (1 R)-1-acetoxytanshinone IIA ( 2), and (15 R)-1-oxoaegyptinone A ( 3)—as well as, new for this genus, isograndifoliol ( 4) were assessed. Three of these compounds exhibited profound inhibition of butyrylcholinesterase (BChE) and much weaker inhibition of acetylcholinesterase (AChE). All compounds ( 14) selectively inhibited BChE (IC 50 = 2.4, 7.9, 50.8, and 0.9 µM, respectively), whereas only compounds 3 and 4 moderately inhibited AChE (IC 50 329.8 µM and 342.9 µM). Molecular docking and in silico toxicology prediction studies were also performed on the active compounds. Natural oxygenated norditerpenoids from the traditional Central Asian medicinal plant P. atriplicifolia are selective BChE inhibitors. Their high potential makes them useful candidate molecules for further investigation as lead compounds in the development of a natural drug against dementia caused by neurodegenerative diseases.

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          Most cited references36

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          ProTox-II: a webserver for the prediction of toxicity of chemicals

          Abstract Advancement in the field of computational research has made it possible for the in silico methods to offer significant benefits to both regulatory needs and requirements for risk assessments, and pharmaceutical industry to assess the safety profile of a chemical. Here, we present ProTox-II that incorporates molecular similarity, pharmacophores, fragment propensities and machine-learning models for the prediction of various toxicity endpoints; such as acute toxicity, hepatotoxicity, cytotoxicity, carcinogenicity, mutagenicity, immunotoxicity, adverse outcomes pathways (Tox21) and toxicity targets. The predictive models are built on data from both in vitro assays (e.g. Tox21 assays, Ames bacterial mutation assays, hepG2 cytotoxicity assays, Immunotoxicity assays) and in vivo cases (e.g. carcinogenicity, hepatotoxicity). The models have been validated on independent external sets and have shown strong performance. ProTox-II provides a freely available webserver for in silico toxicity prediction for toxicologists, regulatory agencies, computational and medicinal chemists, and all users without login at http://tox.charite.de/protox_II. The webserver takes a two-dimensional chemical structure as an input and reports the possible toxicity profile of the chemical for 33 models with confidence scores, and an overall toxicity radar chart along with three most similar compounds with known acute toxicity.
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            ProTox: a web server for the in silico prediction of rodent oral toxicity

            Animal trials are currently the major method for determining the possible toxic effects of drug candidates and cosmetics. In silico prediction methods represent an alternative approach and aim to rationalize the preclinical drug development, thus enabling the reduction of the associated time, costs and animal experiments. Here, we present ProTox, a web server for the prediction of rodent oral toxicity. The prediction method is based on the analysis of the similarity of compounds with known median lethal doses (LD50) and incorporates the identification of toxic fragments, therefore representing a novel approach in toxicity prediction. In addition, the web server includes an indication of possible toxicity targets which is based on an in-house collection of protein–ligand-based pharmacophore models (‘toxicophores’) for targets associated with adverse drug reactions. The ProTox web server is open to all users and can be accessed without registration at: http://tox.charite.de/tox. The only requirement for the prediction is the two-dimensional structure of the input compounds. All ProTox methods have been evaluated based on a diverse external validation set and displayed strong performance (sensitivity, specificity and precision of 76, 95 and 75%, respectively) and superiority over other toxicity prediction tools, indicating their possible applicability for other compound classes.
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              SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions

              Much of the information on the Cytochrome P450 enzymes (CYPs) is spread across literature and the internet. Aggregating knowledge about CYPs into one database makes the search more efficient. Text mining on 57 CYPs and drugs led to a mass of papers, which were screened manually for facts about metabolism, SNPs and their effects on drug degradation. Information was put into a database, which enables the user not only to look up a particular CYP and all metabolized drugs, but also to check tolerability of drug-cocktails and to find alternative combinations, to use metabolic pathways more efficiently. The SuperCYP database contains 1170 drugs with more than 3800 interactions including references. Approximately 2000 SNPs and mutations are listed and ordered according to their effect on expression and/or activity. SuperCYP (http://bioinformatics.charite.de/supercyp) is a comprehensive resource focused on CYPs and drug metabolism. Homology-modeled structures of the CYPs can be downloaded in PDB format and related drugs are available as MOL-files. Within the resource, CYPs can be aligned with each other, drug-cocktails can be ‘mixed’, SNPs, protein point mutations, and their effects can be viewed and corresponding PubMed IDs are given. SuperCYP is meant to be a platform and a starting point for scientists and health professionals for furthering their research.
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                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                23 June 2020
                June 2020
                : 21
                : 12
                : 4475
                Affiliations
                [1 ]Department of Pharmaceutical Biology and Botany, Wroclaw Medical University, 50556 Wroclaw, Poland; sylwester.slusarczyk@ 123456umed.wroc.pl (S.Ś.); renata.abel@ 123456umed.wroc.pl (R.A.)
                [2 ]Department of Pharmacognosy, Faculty of Pharmacy, Gazi University, 06330 Ankara, Turkey; fssenol@ 123456gazi.edu.tr (F.S.S.D.); iorhan@ 123456gazi.edu.tr (I.E.O.)
                [3 ]Structural Bioinformatics Group, Institute for Physiology & ECRC, Charité University Medicine, 10115 Berlin, Germany; priyanka.banerjee@ 123456charite.de (P.B.); robert.preissner@ 123456charite.de (R.P.)
                [4 ]Department of Biochemistry and Crop Quality, IUNG-Institute of Soil Science and Plant Cultivation, 24100 Puławy, Poland; lpecio@ 123456iung.pulawy.pl (Ł.P.); wo@ 123456iung.pulawy.pl (W.O.)
                [5 ]Structural Bioinformatics and High Performance Computing Research Group, Universidad Católica San Antonio de Murcia (UCAM), 30107 Murcia, Spain; hperez@ 123456ucam.edu (H.P.-S.); helenadenhaan@ 123456gmail.com (H.d.-H)
                [6 ]Reconocimiento y Encapsulación Molecular (REM), Universidad Católica San Antonio de Murcia (UCAM), 30107 Murcia, Spain; jpceron@ 123456ucam.edu
                [7 ]Department of Inorganic Chemistry, Wroclaw Medical University, 50556 Wroclaw, Poland; edward.krzyzak@ 123456umed.wroc.pl
                Author notes
                [* ]Correspondence: pharmaceutical.biology@ 123456wp.eu ; Tel.: +48-7840498
                Author information
                https://orcid.org/0000-0003-2722-0890
                https://orcid.org/0000-0002-5850-9841
                https://orcid.org/0000-0003-0802-8078
                https://orcid.org/0000-0002-7407-6716
                https://orcid.org/0000-0003-4468-7898
                https://orcid.org/0000-0003-0668-9227
                https://orcid.org/0000-0002-5000-2448
                https://orcid.org/0000-0002-4189-6603
                https://orcid.org/0000-0002-7379-5436
                https://orcid.org/0000-0002-7283-2653
                Article
                ijms-21-04475
                10.3390/ijms21124475
                7352922
                32586060
                d4adbaf2-3a97-441e-ad62-f221a5a08847
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 08 May 2020
                : 19 June 2020
                Categories
                Article

                Molecular biology
                tanshinones,cholinesterases,molecular docking,structure elucidation
                Molecular biology
                tanshinones, cholinesterases, molecular docking, structure elucidation

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