Literature DB >> 10216830

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

R Bursi1, P D Grootenhuis.   

Abstract

A Comparative Molecular Field Analysis (CoMFA) and an interaction energy-based method were applied on a database holding the 3D structures of 29 thrombin-inhibitor complexes. Several parameters were optimized in both methods in order to obtain the best correlation between theoretical and experimentally determined binding (Ki) data. CoMFA, which only uses the information of the inhibitors, performed best (r = 0.99, q2 = 0.46, N = 29) when HF 6-31G charges were used in combination with a pharmacophore-based alignment. Inclusion of hydrophobic fields did not lead to improvements. The interaction energy-based approach uses the information of the whole thrombin-inhibitor complex. A statistically significant correlation (r = 0.74, N = 14) could only be obtained for a subset of the database containing the high resolution structures. Geometry optimization of the ligand only in combination with downscaled electrostatics performed best.

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Year:  1999        PMID: 10216830     DOI: 10.1023/a:1008010016362

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


  7 in total

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

Authors:  P D Grootenhuis; P J van Galen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1995-07-01

2.  Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

Authors:  R D Cramer; D E Patterson; J D Bunce
Journal:  J Am Chem Soc       Date:  1988-08-01       Impact factor: 15.419

3.  Allosteric modifiers of hemoglobin. 2. Crystallographically determined binding sites and hydrophobic binding/interaction analysis of novel hemoglobin oxygen effectors.

Authors:  F C Wireko; G E Kellogg; D J Abraham
Journal:  J Med Chem       Date:  1991-02       Impact factor: 7.446

Review 4.  Current computational tools for de novo ligand design.

Authors:  H J Böhm
Journal:  Curr Opin Biotechnol       Date:  1996-08       Impact factor: 9.740

5.  Different electrostatic descriptors in comparative molecular field analysis: A comparison of molecular electrostatic and coulomb potentials.

Authors:  R T Kroemer; P Hecht; K R Liedl
Journal:  J Comput Chem       Date:  1996-08       Impact factor: 3.376

6.  Different approaches toward an automatic structural alignment of drug molecules: applications to sterol mimics, thrombin and thermolysin inhibitors.

Authors:  G Klebe; T Mietzner; F Weber
Journal:  J Comput Aided Mol Des       Date:  1994-12       Impact factor: 3.686

Review 7.  Computational methods to predict binding free energy in ligand-receptor complexes.

Authors:  M A Murcko
Journal:  J Med Chem       Date:  1995-12-22       Impact factor: 7.446

  7 in total
  4 in total

1.  Receptor-based 3D QSAR analysis of estrogen receptor ligands--merging the accuracy of receptor-based alignments with the computational efficiency of ligand-based methods.

Authors:  W Sippl
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

Review 2.  Hydrophobicity--shake flasks, protein folding and drug discovery.

Authors:  Aurijit Sarkar; Glen E Kellogg
Journal:  Curr Top Med Chem       Date:  2010       Impact factor: 3.295

3.  Drug design for ever, from hype to hope.

Authors:  G Seddon; V Lounnas; R McGuire; T van den Bergh; R P Bywater; L Oliveira; G Vriend
Journal:  J Comput Aided Mol Des       Date:  2012-01-18       Impact factor: 3.686

Review 4.  Current progress in Structure-Based Rational Drug Design marks a new mindset in drug discovery.

Authors:  Valère Lounnas; Tina Ritschel; Jan Kelder; Ross McGuire; Robert P Bywater; Nicolas Foloppe
Journal:  Comput Struct Biotechnol J       Date:  2013-04-02       Impact factor: 7.271

  4 in total

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