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      Synthesis and preliminary structure-activity relationship study of 2-aryl-2 H-pyrazolo[4,3- c]quinolin-3-ones as potential checkpoint kinase 1 (Chk1) inhibitors

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          Abstract

          The serine-threonine checkpoint kinase 1 (Chk1) plays a critical role in the cell cycle arrest in response to DNA damage. In the last decade, Chk1 inhibitors have emerged as a novel therapeutic strategy to potentiate the anti-tumour efficacy of cytotoxic chemotherapeutic agents. In the search for new Chk1 inhibitors, a congeneric series of 2-aryl-2  H-pyrazolo[4,3- c]quinolin-3-one (PQ) was evaluated by in-vitro and in-silico approaches for the first time. A total of 30 PQ structures were synthesised in good to excellent yields using conventional or microwave heating, highlighting that 14 of them are new chemical entities. Noteworthy, in this preliminary study two compounds 4e 2 and 4h 2 have shown a modest but significant reduction in the basal activity of the Chk1 kinase. Starting from these preliminary results, we have designed the second generation of analogous in this class and further studies are in progress in our laboratories.

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          Optimization of parameters for semiempirical methods V: Modification of NDDO approximations and application to 70 elements

          Several modifications that have been made to the NDDO core-core interaction term and to the method of parameter optimization are described. These changes have resulted in a more complete parameter optimization, called PM6, which has, in turn, allowed 70 elements to be parameterized. The average unsigned error (AUE) between calculated and reference heats of formation for 4,492 species was 8.0 kcal mol−1. For the subset of 1,373 compounds involving only the elements H, C, N, O, F, P, S, Cl, and Br, the PM6 AUE was 4.4 kcal mol−1. The equivalent AUE for other methods were: RM1: 5.0, B3LYP 6–31G*: 5.2, PM5: 5.7, PM3: 6.3, HF 6–31G*: 7.4, and AM1: 10.0 kcal mol−1. Several long-standing faults in AM1 and PM3 have been corrected and significant improvements have been made in the prediction of geometries. Figure Calculated structure of the complex ion [Ta6Cl12]2+ (footnote): Reference value in parenthesis Electronic supplementary material The online version of this article (doi:10.1007/s00894-007-0233-4) contains supplementary material, which is available to authorized users.
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            Optimization of parameters for semiempirical methods I. Method

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              Langevin dynamics of peptides: the frictional dependence of isomerization rates of N-acetylalanyl-N'-methylamide.

              The rate constant for the transition between the equatorial and axial conformations of N-acetylalanyl-N'-methylamide has been determined from Langevin dynamics (LD) simulations with no explicit solvent. The isomerization rate is maximum at collision frequency gamma = 2 ps-1, shows diffusive character for gamma greater than or equal to 10 ps-1, but does not approach zero even at gamma = 0.01 ps-1. This behavior differs from that found for a one-dimensional bistable potential and indicates that both collisional energy transfer with solvent and vibrational energy transfer between internal modes are important in the dynamics of barrier crossing for this system. It is suggested that conformational searches of peptides be carried out using LD with a collision frequency that maximizes the isomerization rate (i.e., gamma approximately 2 ps-1). This method is expected to be more efficient than either molecular dynamics in vacuo (which corresponds to LD with gamma = 0) or molecular dynamics in solvent (where dynamics is largely diffusive).
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                Author and article information

                Journal
                J Enzyme Inhib Med Chem
                J Enzyme Inhib Med Chem
                IENZ
                ienz20
                Journal of Enzyme Inhibition and Medicinal Chemistry
                Taylor & Francis
                1475-6366
                1475-6374
                2018
                06 December 2017
                : 33
                : 1
                : 171-183
                Affiliations
                [a ]Department of Organic Chemistry, INFIQC, School of Chemical Sciences, National University of Cordoba , Cordoba, Argentina;
                [b ]Molecular Modeling Section (MMS), Dipartimento di Scienze Farmaceutiche, Università degli Studi di Padova , via Marzolo, Padova, Italy;
                [c ]Department of Chemistry, QUIAMM-INBIOTEC, School of Exact and Natural Sciences, National University of Mar del Plata , Mar del Plata, Buenos Aires, Argentina
                Author notes

                Supplemental data for this article can be accessed here .

                CONTACT Stefano Moro lauramoy99gmail.com, stefano.moro@ 123456unipd.it Molecular Modeling Section (MMS), Dipartimento di Scienze Farmaceutiche, Università degli Studi di Padova , via Marzolo 5, Padova35131, Italy
                Author information
                http://orcid.org/0000-0003-3944-0313
                Article
                1404592
                10.1080/14756366.2017.1404592
                6010083
                29210298
                82f5b823-3ba0-4e93-99d1-401ceaf711e3
                © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 September 2017
                : 08 November 2017
                : 08 November 2017
                Page count
                Pages: 13, Words: 9027
                Funding
                Funded by: CONICET 10.13039/501100002923
                The authors acknowledge the financial support from the National Scientific and Technical Research Council of Argentina (CONICET). I. Malvacio acknowledges the PhD fellowship from CONICET and the research fellowship BEC.AR from Argentine government. Molecular Modeling Section (MMS) is very grateful to Chemical Computing Group, Acellera and OpenEye for the long and fruitful collaborations.
                Categories
                Research Paper

                Pharmaceutical chemistry
                2-aryl-2h-pyrazolo[4,3-c]quinolin-3-one (pq),serine-threonine checkpoint kinase 1 (chk1),molecular docking,molecular dynamics (md),supervised molecular dynamics (sumd)

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