2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Scaffold Hybridization Strategy Leads to the Discovery of Dopamine D 3 Receptor-Selective or Multitarget Bitopic Ligands Potentially Useful for Central Nervous System Disorders

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In the search for novel bitopic compounds targeting the dopamine D 3 receptor (D 3R), the N-(2,3-dichlorophenyl)piperazine nucleus (primary pharmacophore) has been linked to the 6,6- or 5,5-diphenyl-1,4-dioxane-2-carboxamide or the 1,4-benzodioxane-2-carboxamide scaffold (secondary pharmacophore) by an unsubstituted or 3-F-/3-OH-substituted butyl chain. This scaffold hybridization strategy led to the discovery of potent D 3R-selective or multitarget ligands potentially useful for central nervous system disorders. In particular, the 6,6-diphenyl-1,4-dioxane derivative 3 showed a D 3R-preferential profile, while an interesting multitarget behavior has been highlighted for the 5,5-diphenyl-1,4-dioxane and 1,4-benzodioxane derivatives 6 and 9, respectively, which displayed potent D 2R antagonism, 5-HT 1AR and D 4R agonism, as well as potent D 3R partial agonism. They also behaved as low-potency 5-HT 2AR antagonists and 5-HT 2CR partial agonists. Such a profile might be a promising starting point for the discovery of novel antipsychotic agents.

          Related collections

          Most cited references59

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          OPM database and PPM web server: resources for positioning of proteins in membranes

          The Orientations of Proteins in Membranes (OPM) database is a curated web resource that provides spatial positions of membrane-bound peptides and proteins of known three-dimensional structure in the lipid bilayer, together with their structural classification, topology and intracellular localization. OPM currently contains more than 1200 transmembrane and peripheral proteins and peptides from approximately 350 organisms that represent approximately 3800 Protein Data Bank entries. Proteins are classified into classes, superfamilies and families and assigned to 21 distinct membrane types. Spatial positions of proteins with respect to the lipid bilayer are optimized by the PPM 2.0 method that accounts for the hydrophobic, hydrogen bonding and electrostatic interactions of the proteins with the anisotropic water-lipid environment described by the dielectric constant and hydrogen-bonding profiles. The OPM database is freely accessible at http://opm.phar.umich.edu. Data can be sorted, searched or retrieved using the hierarchical classification, source organism, localization in different types of membranes. The database offers downloadable coordinates of proteins and peptides with membrane boundaries. A gallery of protein images and several visualization tools are provided. The database is supplemented by the PPM server (http://opm.phar.umich.edu/server.php) which can be used for calculating spatial positions in membranes of newly determined proteins structures or theoretical models.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Optimization of parameters for semiempirical methods VI: more modifications to the NDDO approximations and re-optimization of parameters

            Modern semiempirical methods are of sufficient accuracy when used in the modeling of molecules of the same type as used as reference data in the parameterization. Outside that subset, however, there is an abundance of evidence that these methods are of very limited utility. In an attempt to expand the range of applicability, a new method called PM7 has been developed. PM7 was parameterized using experimental and high-level ab initio reference data, augmented by a new type of reference data intended to better define the structure of parameter space. The resulting method was tested by modeling crystal structures and heats of formation of solids. Two changes were made to the set of approximations: a modification was made to improve the description of noncovalent interactions, and two minor errors in the NDDO formalism were rectified. Average unsigned errors (AUEs) in geometry and ΔH f for PM7 were reduced relative to PM6; for simple gas-phase organic systems, the AUE in bond lengths decreased by about 5 % and the AUE in ΔH f decreased by about 10 %; for organic solids, the AUE in ΔH f dropped by 60 % and the reduction was 33.3 % for geometries. A two-step process (PM7-TS) for calculating the heights of activation barriers has been developed. Using PM7-TS, the AUE in the barrier heights for simple organic reactions was decreased from values of 12.6 kcal/mol-1 in PM6 and 10.8 kcal/mol-1 in PM7 to 3.8 kcal/mol-1. The origins of the errors in NDDO methods have been examined, and were found to be attributable to inadequate and inaccurate reference data. This conclusion provides insight into how these methods can be improved. Electronic supplementary material The online version of this article (doi:10.1007/s00894-012-1667-x) contains supplementary material, which is available to authorized users.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              An overview of the Amber biomolecular simulation package: Amber biomolecular simulation package

                Bookmark

                Author and article information

                Journal
                ACS Chem Neurosci
                ACS Chem Neurosci
                cn
                acncdm
                ACS Chemical Neuroscience
                American Chemical Society
                1948-7193
                16 September 2021
                06 October 2021
                : 12
                : 19
                : 3638-3649
                Affiliations
                []Medicinal Chemistry Section, Molecular Targets and Medications Discovery Branch, National Institute on Drug Abuse—Intramural Research Program, National Institutes of Health , 333 Cassell Drive, Baltimore, Maryland 21224, United States
                []Department of Chemistry & Biochemistry, Department of Molecular & Cellular Biosciences, Rowan University , 201 Mullica Hill Rd, Glassboro, New Jersey 08028, United States
                [§ ]School of Pharmacy, Medicinal Chemistry Unit, University of Camerino , Via S. Agostino 1, Camerino 62032, Italy
                []Department of Pharmaceutical Sciences, University of Milan , Via Mangiagalli 25, Milano 20133, Italy
                Author notes
                [* ]Email: fabio.delbello@ 123456unicam.it . Phone: +390737402265.
                [* ]Email: wilma.quaglia@ 123456unicam.it . Phone: +390737402237.
                Author information
                https://orcid.org/0000-0002-7306-0114
                https://orcid.org/0000-0001-9065-4072
                https://orcid.org/0000-0003-1845-9373
                https://orcid.org/0000-0002-3939-5172
                https://orcid.org/0000-0001-6538-6029
                https://orcid.org/0000-0002-9576-6580
                https://orcid.org/0000-0002-7708-0200
                https://orcid.org/0000-0001-6135-6826
                Article
                10.1021/acschemneuro.1c00368
                8498988
                34529404
                9a9d2b75-b7bc-4129-911f-72fb5afdfe0a
                © 2021 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
                : 04 June 2021
                Funding
                Funded by: National Institutes of Health, doi 10.13039/100000002;
                Award ID: NA
                Funded by: Università degli Studi di Camerino, doi 10.13039/501100010739;
                Award ID: NA
                Funded by: National Institute of Development Administration, doi 10.13039/501100010232;
                Award ID: NA
                Categories
                Research Article
                Custom metadata
                cn1c00368
                cn1c00368

                Neurosciences
                dopamine d3 receptors,bitopic ligands,multitarget compounds,central nervous system disorders,docking studies

                Comments

                Comment on this article