Literature DB >> 20148287

Screening of benzamidine-based thrombin inhibitors via a linear interaction energy in continuum electrostatics model.

Orazio Nicolotti1, Ilenia Giangreco, Teresa Fabiola Miscioscia, Marino Convertino, Francesco Leonetti, Leonardo Pisani, Angelo Carotti.   

Abstract

A series of 27 benzamidine inhibitors covering a wide range of biological activity and chemical diversity was analysed to derive a Linear Interaction Energy in Continuum Electrostatics (LIECE) model for analysing the thrombin inhibitory activity. The main interactions occurring at the thrombin binding site and the preferred binding conformations of inhibitors were explicitly biased by including into the LIECE model 10 compounds extracted from X-ray solved thrombin-inhibitor complexes available from the Protein Data Bank (PDB). Supported by a robust statistics (r(2) = 0.698; q(2) = 0.662), the LIECE model was successful in predicting the inhibitory activity for about 76% of compounds (r (ext) (2) > or = 0.600) from a larger external test set encompassing 88 known thrombin inhibitors and, more importantly, in retrieving, at high sensitivity and with better performance than docking and shape-based methods, active compounds from a thrombin combinatorial library of 10240 mimetic chemical products. The herein proposed LIECE model has the potential for successfully driving the design of novel thrombin inhibitors with benzamidine and/or benzamidine-like chemical structure.

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Year:  2010        PMID: 20148287     DOI: 10.1007/s10822-010-9320-1

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  54 in total

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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Authors:  Renxiao Wang; Luhua Lai; Shaomeng Wang
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

4.  Assessing scoring functions for protein-ligand interactions.

Authors:  Philippe Ferrara; Holger Gohlke; Daniel J Price; Gerhard Klebe; Charles L Brooks
Journal:  J Med Chem       Date:  2004-06-03       Impact factor: 7.446

5.  Modeling ligand-receptor interaction for some MHC class II HLA-DR4 peptide mimetic inhibitors using several molecular docking and 3D QSAR techniques.

Authors:  Hsin-Yuan Wei; Keng-Chang Tsai; Thy-Hou Lin
Journal:  J Chem Inf Model       Date:  2005 Sep-Oct       Impact factor: 4.956

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Authors:  Peter Kolb; Danzhi Huang; Fabian Dey; Amedeo Caflisch
Journal:  J Med Chem       Date:  2008-02-14       Impact factor: 7.446

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Authors:  T Hansson; J Aqvist
Journal:  Protein Eng       Date:  1995-11

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Authors:  M L Lamb; W L Jorgensen
Journal:  Curr Opin Chem Biol       Date:  1997-12       Impact factor: 8.822

9.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

10.  An integrated approach to ligand- and structure-based drug design: development and application to a series of serine protease inhibitors.

Authors:  Orazio Nicolotti; Teresa Fabiola Miscioscia; Andrea Carotti; Francesco Leonetti; Angelo Carotti
Journal:  J Chem Inf Model       Date:  2008-06-10       Impact factor: 4.956

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  1 in total

1.  Ligand-enabled multiple absolute stereocontrol in metal-catalysed cycloaddition for construction of contiguous all-carbon quaternary stereocentres.

Authors:  Kohsuke Ohmatsu; Naomichi Imagawa; Takashi Ooi
Journal:  Nat Chem       Date:  2013-11-24       Impact factor: 24.427

  1 in total

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