Literature DB >> 15299844

Correlation of binding affinities with non-bonded interaction energies of thrombin-inhibitor complexes.

P D Grootenhuis1, P J van Galen.   

Abstract

Several empirical modeling protocols are evaluated allowing a quantification of the interaction between an enzyme and a series of inhibitors. The evaluation and optimization of the modeling protocols used a database of 35 non-covalently bound inhibitors of human thrombin. Intermolecular interaction energies were calculated with CHARMm after energy minimization of the modeled complexes using various dielectric functions and constraining strategies. These calculated binding energies were correlated with the experimentally obtained binding constants of the inhibitors. The best protocols resulted in linear correlations with correlation coefficients > 0.80. In the best protocols the enzyme was fully constrained, the ligand was allowed to move freely and electrostatics were scaled down drastically or fully neglected during the energy minimization. For the interaction energy evaluation step, a distance-dependent dielectric function epsilon = R proved to be optimal. This simple empirical protocol, that neglects solvation or entropy effects, can be implemented readily in other force field packages and may be applied on various enzyme-inhibitor complexes, providing a tool for the evaluation and rank-ordering of newly designed inhibitors.

Entities:  

Year:  1995        PMID: 15299844     DOI: 10.1107/S0907444994011686

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  8 in total

1.  Computational design of D-peptide inhibitors of hepatitis delta antigen dimerization.

Authors:  C D Elkin; H J Zuccola; J M Hogle; D Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  Comparative molecular field analysis and energy interaction studies of thrombin-inhibitor complexes.

Authors:  R Bursi; P D Grootenhuis
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

3.  Comparison of two implementations of the incremental construction algorithm in flexible docking of thrombin inhibitors.

Authors:  R M Knegtel; D M Bayada; R A Engh; W von der Saal; V J van Geerestein; P D Grootenhuis
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

4.  Quantum and molecular dynamics study for binding of macrocyclic inhibitors to human alpha-thrombin.

Authors:  Emilia L Wu; Ye Mei; KeLi Han; John Z H Zhang
Journal:  Biophys J       Date:  2007-03-23       Impact factor: 4.033

5.  X-ray structure of antistasin at 1.9 A resolution and its modelled complex with blood coagulation factor Xa.

Authors:  R Lapatto; U Krengel; H A Schreuder; A Arkema; B de Boer; K H Kalk; W G Hol; P D Grootenhuis; J W Mulders; R Dijkema; H J Theunissen; B W Dijkstra
Journal:  EMBO J       Date:  1997-09-01       Impact factor: 11.598

Review 6.  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

7.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

8.  Active-site-directed 3D database searching: pharmacophore extraction and validation of hits.

Authors:  D E Clark; D R Westhead; R A Sykes; C W Murray
Journal:  J Comput Aided Mol Des       Date:  1996-10       Impact factor: 3.686

  8 in total

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