Literature DB >> 7966150

Design and synthesis of potent and highly selective thrombin inhibitors.

K Hilpert1, J Ackermann, D W Banner, A Gast, K Gubernator, P Hadváry, L Labler, K Müller, G Schmid, T B Tschopp.   

Abstract

Thrombin, a serine protease, plays a central role in the initiation and propagation of thrombotic events. An extensive search for new thrombin inhibitors was performed, using an unconventional approach. Screening of small basic molecules for binding in the recognition pocket of thrombin led to the discovery of (aminoiminomethyl)piperidine (amidinopiperidine) as a weak, but intrinsically selective, thrombin inhibitor. Elaboration of this molecule provided compounds which inhibit thrombin with Ki's in the range of 20-50 nM and with selectivities of 1000-4000 against trypsin. These inhibitor compounds show a new and unexpected binding mode to thrombin. Modification of the central building block and then of one of the hydrophobic substituents led to the discovery of a new family of thrombin inhibitors which has reverted to the former binding mode to thrombin. This last class of compounds shows inhibitory activities in the picomolar range, low toxicity, and a short plasma half life which favors its use for an intravenous application. From this series of thrombin inhibitors, 19f(Ro 46-6240) was selected for clinical development as an antithrombotic agent for intravenous administration.

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Year:  1994        PMID: 7966150     DOI: 10.1021/jm00049a008

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  11 in total

1.  Combinatorial docking and combinatorial chemistry: design of potent non-peptide thrombin inhibitors.

Authors:  H J Böhm; D W Banner; L Weber
Journal:  J Comput Aided Mol Des       Date:  1999-01       Impact factor: 3.686

2.  Fragment-based drug discovery.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2009-06-24       Impact factor: 3.686

Review 3.  Prediction of binding constants of protein ligands: a fast method for the prioritization of hits obtained from de novo design or 3D database search programs.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

4.  Computational combinatorial ligand design: application to human alpha-thrombin.

Authors:  A Caflisch
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

5.  Blood-borne tissue factor: another view of thrombosis.

Authors:  P L Giesen; U Rauch; B Bohrmann; D Kling; M Roqué; J T Fallon; J J Badimon; J Himber; M A Riederer; Y Nemerson
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-02       Impact factor: 11.205

6.  Influence of structural variations in peptidomimetic 4-amidinophenylalanine-derived thrombin inhibitors on plasma clearance and biliary excretion in rats.

Authors:  Jörg Hauptmann; Torsten Steinmetzer; Helmut Vieweg; Peter Wikström; Jürg Stürzebecher
Journal:  Pharm Res       Date:  2002-07       Impact factor: 4.200

7.  Intriguing role of water in protein-ligand binding studied by neutron crystallography on trypsin complexes.

Authors:  Johannes Schiebel; Roberto Gaspari; Tobias Wulsdorf; Khang Ngo; Christian Sohn; Tobias E Schrader; Andrea Cavalli; Andreas Ostermann; Andreas Heine; Gerhard Klebe
Journal:  Nat Commun       Date:  2018-09-03       Impact factor: 14.919

8.  Electrostatic recognition in substrate binding to serine proteases.

Authors:  Birgit J Waldner; Johannes Kraml; Ursula Kahler; Alexander Spinn; Michael Schauperl; Maren Podewitz; Julian E Fuchs; Gabriele Cruciani; Klaus R Liedl
Journal:  J Mol Recognit       Date:  2018-05-22       Impact factor: 2.137

9.  Nonadditivity in public and inhouse data: implications for drug design.

Authors:  D Gogishvili; E Nittinger; C Margreitter; C Tyrchan
Journal:  J Cheminform       Date:  2021-07-02       Impact factor: 5.514

10.  Strong nonadditivity as a key structure-activity relationship feature: distinguishing structural changes from assay artifacts.

Authors:  Christian Kramer; Julian E Fuchs; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2015-03-11       Impact factor: 4.956

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